MemProtMD API Documentation.ipynb

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    "## The MemProtMD API\n",
    "The MemProtMD API connects the MemProtMD database to applications such\n",
    "as this site. The API is free to use for any application, provided data\n",
    "obtained through it is properly attributed.\n",
    "\n",
    "### General notes\n",
    "We recommend using [Postman](https://www.getpostman.com/) to check that\n",
    "the API methods shown here behave as expected. Postman can also output\n",
    "code snippets in a number of languages for pipeline applications. Examples\n",
    "in this guide use Python's Requests library."
   ]
  },
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    "### The MemProtMD Data Model\n",
    "\n",
    "MemProtMD deals with a few different data types. It's worth understanding what these are before diving in:\n",
    "\n",
    "#### Simulation\n",
    "\n",
    "Each **simulation** is a simulation set up and run through the MemProtMD pipeline. The simulation has a Coarse-Grained Self-Assembley, Coarse-Grained Dynamics and Atomistic stage. Each simulation is linked to one **reference**.\n",
    "\n",
    "#### Reference\n",
    "\n",
    "Each **reference** is a reference to an accession in an external database, such as the Protein DataBank. It will have a unique identifier, which is the database abbreviation (e.g. PDB), the pipe (|) symbol and the accession code from that database. Record 1a0s from the Protein DataBank is therefore `PDB|1a0s`. Records typically also have a title, list of simulation IDs, `parent` reference (where the reference falls into a tree structure), `member_of` list (if it is a member of a broader database reference) and a `collection_members` list (the inverse of the `member_of` list).\n",
    "\n",
    "## The MemProtMD JSON/MongoDB API\n",
    "\n",
    "The MemProtMD JSON/MongoDB API aims to securely expose as much functionality as possible from the underlying MongoDB collections. Data is sent to the server in the body of an HTTP POST request as JSON and returned via HTTP response as JSON. The status of the response will be `200` for sucessful requests or `400` for unsuccessful requests. The reason for failure should be detailed in the JSON response.\n",
    "\n",
    "There are three collections which can be queried using the JSON API - `simulations`, `refs` and `authors`.\n",
    "\n",
    "First off, we'll import the Python requests library and set the root URI for the MemProtMD site."
   ]
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   "source": [
    "import requests"
   ]
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   "source": [
    "MEMPROTMD_ROOT_URI = \"http://memprotmd.bioch.ox.ac.uk/\""
   ]
  },
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    "#### Bulk Operations\n",
    "\n",
    "Often you might want to do grab a complete list of references or simulations from MemProtMD. These come with only the most commonly used fields so you may need to make additional requests (see below) to fill in details for other fields.\n",
    "\n",
    "**All simulations** POST to http://memprotmd.bioch.ox.ac.uk/api/simulations/all with no parameters.\n",
    "\n",
    "**All references** POST to http://memprotmd.bioch.ox.ac.uk/api/references/all/ with no parameters. You can optionally restrict this list to specific databases by adding the database name to the end of the URI, e.g. http://memprotmd.bioch.ox.ac.uk/api/references/all/Pfam for the Pfam database.\n",
    "\n",
    "These Python examples will show only the first item from the returned list:"
   ]
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     "data": {
      "text/plain": [
       "{'_id': '4jbw_default_dppc',\n",
       " 'accession': '4jbw',\n",
       " 'composition': {'DPPC': 100},\n",
       " 'db': 'PDB',\n",
       " 'sim_validate': {'n_frames': 4001}}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_all_memprotmd_simulations():\n",
    "    return requests.post(MEMPROTMD_ROOT_URI + \"api/simulations/all\").json()\n",
    "\n",
    "get_all_memprotmd_simulations()[0]"
   ]
  },
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     "data": {
      "text/plain": [
       "{'_id': 'GO|GO:0035774',\n",
       " 'accession': 'GO:0035774',\n",
       " 'db': 'GO',\n",
       " 'n_simulations': 2,\n",
       " 'simulations': ['5u71_default_dppc', '5uak_default_dppc'],\n",
       " 'subtitle': 'Biological process - Positive regulation of insulin secretion involved in cellular response to glucose stimulus',\n",
       " 'title': 'Positive regulation of insulin secretion involved in cellular response to glucose stimulus'}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_all_memprotmd_references(database=\"\"):\n",
    "    return requests.post(MEMPROTMD_ROOT_URI + \"api/references/all/\" + database).json()\n",
    "\n",
    "get_all_memprotmd_references(\"GO\")[0]"
   ]
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    "#### Full data for a reference or simulation\n",
    "\n",
    "In this case the full database record is returned.\n",
    "\n",
    "**Full data for a simulation** POST to http://memprotmd.bioch.ox.ac.uk/api/simulations/[sim_id]\n",
    "\n",
    "**Full data for a reference** POST to http://memprotmd.bioch.ox.ac.uk/api/references/[database_id]/[sim_id]\n",
    "\n",
    "The Python examples below show how you'd use this in practice:"
   ]
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    {
     "data": {
      "text/plain": [
       "{'_id': '1a0s_default_dppc',\n",
       " 'accession': '1a0s',\n",
       " 'chains': [{'chainID': 'P',\n",
       "   'count': 1,\n",
       "   'tm_alpha': 0,\n",
       "   'tm_alpha_lipid': 0,\n",
       "   'tm_alpha_protein': 0,\n",
       "   'tm_alpha_solvent': 0,\n",
       "   'tm_beta': 15,\n",
       "   'tm_beta_lipid': 10,\n",
       "   'tm_beta_protein': 0,\n",
       "   'tm_beta_solvent': 5,\n",
       "   'type': 'membrane spanning'},\n",
       "  {'chainID': 'Q',\n",
       "   'count': 1,\n",
       "   'tm_alpha': 0,\n",
       "   'tm_alpha_lipid': 0,\n",
       "   'tm_alpha_protein': 0,\n",
       "   'tm_alpha_solvent': 0,\n",
       "   'tm_beta': 16,\n",
       "   'tm_beta_lipid': 10,\n",
       "   'tm_beta_protein': 1,\n",
       "   'tm_beta_solvent': 5,\n",
       "   'type': 'membrane spanning'},\n",
       "  {'chainID': 'R',\n",
       "   'count': 1,\n",
       "   'tm_alpha': 0,\n",
       "   'tm_alpha_lipid': 0,\n",
       "   'tm_alpha_protein': 0,\n",
       "   'tm_alpha_solvent': 0,\n",
       "   'tm_beta': 16,\n",
       "   'tm_beta_lipid': 10,\n",
       "   'tm_beta_protein': 1,\n",
       "   'tm_beta_solvent': 5,\n",
       "   'type': 'membrane spanning'}],\n",
       " 'composition': {'DPPC': 100},\n",
       " 'db': 'PDB',\n",
       " 'db_version': '2017-02-07T03:45:49',\n",
       " 'images': {'bottom-cartoon': 'simulations/1a0s_default_dppc/images/bottom-cartoon.jpg',\n",
       "  'bottom-distortions': 'simulations/1a0s_default_dppc/images/bottom-distortions.jpg',\n",
       "  'front-at_lipids': 'simulations/1a0s_default_dppc/images/front-at_lipids.jpg',\n",
       "  'front-cartoon': 'simulations/1a0s_default_dppc/images/front-cartoon.jpg',\n",
       "  'front-cg_lipids': 'simulations/1a0s_default_dppc/images/front-cg_lipids.jpg',\n",
       "  'front-contacts-head-cartoon': 'simulations/1a0s_default_dppc/images/front-contacts-head-cartoon.jpg',\n",
       "  'front-contacts-head-surface': 'simulations/1a0s_default_dppc/images/front-contacts-head-surface.jpg',\n",
       "  'front-contacts-solvent-cartoon': 'simulations/1a0s_default_dppc/images/front-contacts-solvent-cartoon.jpg',\n",
       "  'front-contacts-solvent-surface': 'simulations/1a0s_default_dppc/images/front-contacts-solvent-surface.jpg',\n",
       "  'front-contacts-tail-cartoon': 'simulations/1a0s_default_dppc/images/front-contacts-tail-cartoon.jpg',\n",
       "  'front-contacts-tail-surface': 'simulations/1a0s_default_dppc/images/front-contacts-tail-surface.jpg',\n",
       "  'front-distortions': 'simulations/1a0s_default_dppc/images/front-distortions.jpg',\n",
       "  'thumb_100': 'simulations/1a0s_default_dppc/images/thumb_100.jpg',\n",
       "  'thumb_250': 'simulations/1a0s_default_dppc/images/thumb_250.jpg',\n",
       "  'thumb_50': 'simulations/1a0s_default_dppc/images/thumb_50.jpg',\n",
       "  'top-cartoon': 'simulations/1a0s_default_dppc/images/top-cartoon.jpg',\n",
       "  'top-distortions': 'simulations/1a0s_default_dppc/images/top-distortions.jpg'},\n",
       " 'last_update_time': 0,\n",
       " 'leaflet_summary': {'lower': 0.4439420251364832,\n",
       "  'n_lower_to_upper': 0,\n",
       "  'n_upper_to_lower': 0,\n",
       "  'upper': 0.5548101942531117},\n",
       " 'n_chains': 3,\n",
       " 'ref_key': 'PDB|1a0s',\n",
       " 'sim_complete_time': 1478790592,\n",
       " 'sim_validate': {'n_frames': 4001,\n",
       "  'n_lipid_molecules': 437,\n",
       "  'n_protein_residues': 1239,\n",
       "  'tm_span': 40},\n",
       " 'thinning': {'annular_mid': 44.01506519317627,\n",
       "  'annular_thickness': 32.78035545349121,\n",
       "  'bulk_mid': 44.64772033691406,\n",
       "  'bulk_thickness': 40.27314758300781,\n",
       "  'mid_diff': -0.632655143737793,\n",
       "  'thickness_diff': -7.492792129516602}}"
      ]
     },
     "execution_count": 5,
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     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_memprotmd_simulation(sim_id):\n",
    "    return requests.post(\n",
    "        MEMPROTMD_ROOT_URI \n",
    "        + \"api/simulations/{sim_id}\".format(\n",
    "            sim_id = sim_id\n",
    "        )).json()\n",
    "get_memprotmd_simulation(\"1a0s_default_dppc\")"
   ]
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    {
     "data": {
      "text/plain": [
       "{'_id': 'PDB|4wit',\n",
       " 'accession': '4wit',\n",
       " 'all_authors': ['Lim, N.K.',\n",
       "  'Duerst, A.',\n",
       "  'Brunner, J.D.',\n",
       "  'Schenck, S.',\n",
       "  'Dutzler, R.'],\n",
       " 'copyright': {'license': 'PDB',\n",
       "  'origin': 'http://www.rcsb.org/pdb/explore/explore.do?structureId=4wit',\n",
       "  'owner': 'Research Collaboration for Structural Biology, Lim, N.K., Duerst, A., Brunner, J.D., Schenck, S., Dutzler, R.',\n",
       "  'terms': 'http://www.rcsb.org/pdb/static.do?p=general_information/about_pdb/pdb_advisory.html'},\n",
       " 'db': 'PDB',\n",
       " 'db_version': '2017-02-07T03:45:49',\n",
       " 'entities': [{'chains': ['A', 'B'],\n",
       "   'description': 'Predicted protein',\n",
       "   'refs': [{'accession': 'C7Z7K1',\n",
       "     'db': 'UniProt',\n",
       "     'key': 'UniProt|C7Z7K1',\n",
       "     'valid': True}],\n",
       "   'type': 'protein'}],\n",
       " 'experimental_method': 'X-RAY DIFFRACTION',\n",
       " 'first_published': '2014-11-12',\n",
       " 'href': 'http://www.rcsb.org/pdb/explore/explore.do?structureId=4wit',\n",
       " 'in_collections': [{'accession': '1',\n",
       "   'db': 'TCDB',\n",
       "   'key': 'TCDB|1',\n",
       "   'level': 1},\n",
       "  {'accession': '1.A', 'db': 'TCDB', 'key': 'TCDB|1.A', 'level': 2},\n",
       "  {'accession': '1.A.17', 'db': 'TCDB', 'key': 'TCDB|1.A.17', 'level': 3},\n",
       "  {'accession': '1.A.17.1', 'db': 'TCDB', 'key': 'TCDB|1.A.17.1', 'level': 4},\n",
       "  {'accession': '1.A.17.1.18',\n",
       "   'db': 'TCDB',\n",
       "   'key': 'TCDB|1.A.17.1.18',\n",
       "   'level': 5},\n",
       "  {'accession': 'protein-4wis',\n",
       "   'db': 'mpstruc',\n",
       "   'key': 'mpstruc|protein-4wis',\n",
       "   'level': 4},\n",
       "  {'accession': 'tmem16-family-proteins',\n",
       "   'db': 'mpstruc',\n",
       "   'key': 'mpstruc|tmem16-family-proteins',\n",
       "   'level': 3},\n",
       "  {'accession': 'transmembrane-proteins-alpha-helical',\n",
       "   'db': 'mpstruc',\n",
       "   'key': 'mpstruc|transmembrane-proteins-alpha-helical',\n",
       "   'level': 2},\n",
       "  {'accession': 'mpstruc',\n",
       "   'db': 'mpstruc',\n",
       "   'key': 'mpstruc|mpstruc',\n",
       "   'level': 1},\n",
       "  {'accession': 'C7Z7K1',\n",
       "   'chains': ['A', 'B'],\n",
       "   'db': 'UniProt',\n",
       "   'key': 'UniProt|C7Z7K1'},\n",
       "  {'accession': 'GO:0016021',\n",
       "   'chains': ['A', 'B'],\n",
       "   'db': 'GO',\n",
       "   'key': 'GO|GO:0016021'},\n",
       "  {'accession': 'GO:0046872',\n",
       "   'chains': ['A', 'B'],\n",
       "   'db': 'GO',\n",
       "   'key': 'GO|GO:0046872'},\n",
       "  {'accession': 'PF04547',\n",
       "   'chains': ['A', 'B'],\n",
       "   'db': 'Pfam',\n",
       "   'key': 'Pfam|PF04547'},\n",
       "  {'accession': 'membrane_proteins',\n",
       "   'db': 'mpm',\n",
       "   'key': 'mpm|membrane_proteins',\n",
       "   'score': 100},\n",
       "  {'accession': 'alpha_helical',\n",
       "   'db': 'mpm',\n",
       "   'key': 'mpm|alpha_helical',\n",
       "   'score': 300}],\n",
       " 'is_structure': True,\n",
       " 'keywords': ['membrane protein',\n",
       "  'calcium activation',\n",
       "  'transport protein',\n",
       "  'lipid transport'],\n",
       " 'keywords_string': 'Membrane Protein, Calcium Activation, Transport Protein, Lipid Transport',\n",
       " 'ligands': [{'description': 'CALCIUM ION', 'ligand_id': 'CA'}],\n",
       " 'mpm_type': 'structure',\n",
       " 'n_simulations': 1,\n",
       " 'needs_update': False,\n",
       " 'organism': {'common_name': None,\n",
       "  'count': 1,\n",
       "  'scientific_name': 'Nectria haematococca (strain 77-13-4 / ATCC MYA-4622 / FGSC 9596 / MPVI)',\n",
       "  'taxon_ncbi': '660122'},\n",
       " 'parent': 'mpstruc|protein-4wis',\n",
       " 'primary_authors': ['Lim, N.K.',\n",
       "  'Duerst, A.',\n",
       "  'Brunner, J.D.',\n",
       "  'Schenck, S.',\n",
       "  'Dutzler, R.'],\n",
       " 'primary_citation': {'DOI': '10.1038/nature13984',\n",
       "  'journal': 'Nature',\n",
       "  'title': 'X-ray structure of a calcium-activated TMEM16 lipid scramblase.',\n",
       "  'year': '2014'},\n",
       " 'ref_key': 'PDB|4wit',\n",
       " 'resolution': '3.400',\n",
       " 'sim_chains_meta': [{'chainID': 'A',\n",
       "   'tm': 'membrane spanning',\n",
       "   'tm_ss': 'alpha'},\n",
       "  {'chainID': 'B', 'tm': 'membrane spanning', 'tm_ss': 'alpha'}],\n",
       " 'simulations': ['4wit_default_dppc'],\n",
       " 'subtitle': 'TMEM16 lipid scramblase in crystal form 2',\n",
       " 'title': 'TMEM16 Ca<sup>2+</sup>-activated lipid scramblase, crystal form 1',\n",
       " 'tree': [['mpstruc|mpstruc', None],\n",
       "  ['mpstruc|monotopic-membrane-proteins', 'mpstruc|mpstruc'],\n",
       "  ['mpstruc|transmembrane-proteins-beta-barrel', 'mpstruc|mpstruc'],\n",
       "  ['mpstruc|transmembrane-proteins-alpha-helical', 'mpstruc|mpstruc'],\n",
       "  ['mpstruc|adventitious-membrane-proteins-alpha-helical-pore-forming-toxins',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|de-novo-designed-membrane-proteins',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|bacterial-cell-divison-proteins',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|bacterial-and-algal-rhodopsins',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|novel-receptors', 'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|g-protein-coupled-receptors-gpcrs',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|tetraspanins', 'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|adiponectin-receptors',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|virus-coat-proteins',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|glycoproteins', 'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|receptor-tyrosine-kinase-rtk-family',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|tumor-necrosis-factor-tnf-receptor-superfamily',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|epidermal-growth-factor-receptors',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|erythropoietin-producing-hepatocellular-receptors',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|fibroblast-growth-factor-receptors',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|vascular-endothelial-growth-factor-receptors',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|integrin-adhesion-receptors',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|histidine-kinase-receptors',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|immune-receptors', 'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|snare-protein-family',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|claudins', 'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|tmem16-family-proteins',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|channels-mechanosensitive',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|channels-potassium-sodium-proton-ion-selective',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|channels-calcium-ion-selective',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|channels-transient-receptor-potential-trp',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|channels-other-ion-channels',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|channels-fluc-family',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|cys-loop-receptor-family',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|channels-aquaporins-and-glyceroporins',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|channels-formate-nitrite-transporter-fnt-family',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|channels-urea-transporters',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|channels-gap-junctions',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|channels-amt-mep-rh-proteins',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|sec-and-translocase-proteins',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|celluose-synthases',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|pnpt-superfamily', 'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|oligosaccharyltransferases-ost',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|glycosyltransfereases',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|diacylglyceryl-transferases',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|intramembrane-proteases',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|h-sup-sup-cl-sup-sup-exchange-transporters',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|cora-superfamily-ion-transporters',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|bacterial-mercury-detoxification-proteins',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|rhodaneses', 'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|multi-drug-efflux-transporters',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|drug-metabolite-transporter-dmt-superfamily',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|abgt-family-of-transporters',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|membrane-associated-proteins-in-eicosanoid-and-glutathione-metabolism-mapeg',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|sweet-and-semisweet-transporters-and-their-relatives',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|major-facilitator-superfamily-mfs-transporters',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|solute-sodium-symporter-sss-family',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|solute-carrier-slc-transporter-superfamily',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|ca-sup-2-sup-cation-antiporter-caca-family',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|nucleobase-cation-symport-1-ncs1-family',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|nucleobase-cation-symport-2-ncs2-family',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|solute-carrier-family-4-anion-exchanger',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|betaine-choline-carnitine-transporter-bcct-family',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|amino-acid-polyamine-organocation-apc-superfamily',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|amino-acid-secondary-transporters',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|cation-diffusion-facilitator-cdf-family',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|antiporters', 'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|apical-sodium-dependent-bile-acid-transporters-asbt',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|energy-coupling-factor-ecf-transporters',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|atp-binding-cassette-abc-transporters',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|methyltransferases',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|phosphoenolpyruvate-dependent-phosphotransferases-ptss',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|cdp-alcohol-phosphotransferases',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|insulin-induced-gene-products-insig-proteins',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|sterol-reductases',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|sterol-sensing-domain-ssd-proteins',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|fatty-acid-desaturases',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|superfamily-of-k-sup-sup-transporters-skt-proteins',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|membrane-integral-pyrophosphatases-m-ppases',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|bacterial-v-type-atpase',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|vacuolar-atpase-v-atpase',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|f-type-atpase', 'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|p-type-atpase', 'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|phosphotransferases',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|hydrolases', 'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|oxygenases', 'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|transhydrogenases',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|mo-w-em-bis-em-mgd-oxidoreductases',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|oxidoreductases', 'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|electron-transport-chain-complexes-complex-i',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|electron-transport-chain-complexes-complex-ii',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|electron-transport-chain-complexes-complex-iii-cytochrome-bc-sub-1-sub',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|electron-transport-chain-complexes-cytochrome-b-sub-6-sub-f-of-oxygenic-photosynthesis',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|electron-transport-chain-complexes-complex-iv-cytochrome-c-oxidase',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|nitric-oxide-reductases',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|photosystems', 'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|photoprotection-proteins',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|light-harvesting-complexes',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|photosynthetic-reaction-centers',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|light-harvesting-reaction-center-complexes',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|phosphatidic-acid-phosphatases',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|translocator-protein-18-kda-tspo',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|ubia-prenyltransferases',\n",
       "   'mpstruc|transmembrane-proteins-alpha-helical'],\n",
       "  ['mpstruc|protein-4wis', 'mpstruc|tmem16-family-proteins'],\n",
       "  ['PDB|4wis', 'mpstruc|protein-4wis'],\n",
       "  ['PDB|4wit', 'mpstruc|protein-4wis']],\n",
       " 'updated_at': 1485117611.092187}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_memprotmd_reference(db, accession):\n",
    "    return requests.post(\n",
    "        MEMPROTMD_ROOT_URI \n",
    "        + \"api/references/{db}/{accession}\".format(\n",
    "            db=db, accession=accession\n",
    "        )).json()\n",
    "get_memprotmd_reference(\"PDB\", \"4wit\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "You can also pass in a list of references to get more detailed (although not full) data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'_id': 'PDB|1a0s',\n",
       "  'accession': '1a0s',\n",
       "  'db': 'PDB',\n",
       "  'experimental_method': 'X-RAY DIFFRACTION',\n",
       "  'first_published': '1998-06-10',\n",
       "  'n_simulations': 1,\n",
       "  'resolution': '2.4',\n",
       "  'subtitle': 'SUCROSE-SPECIFIC PORIN',\n",
       "  'title': 'ScrY sucrose-specific porin'},\n",
       " {'_id': 'PDB|1bcc',\n",
       "  'accession': '1bcc',\n",
       "  'db': 'PDB',\n",
       "  'experimental_method': 'X-RAY DIFFRACTION',\n",
       "  'first_published': '1998-08-19',\n",
       "  'n_simulations': 1,\n",
       "  'resolution': '3.16',\n",
       "  'subtitle': 'CYTOCHROME BC1 COMPLEX FROM CHICKEN',\n",
       "  'title': 'Cytochrome bc<sub>1</sub>'}]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_memprotmd_reference_list(list_of_references):\n",
    "    return requests.post(\n",
    "        \n",
    "        MEMPROTMD_ROOT_URI \n",
    "        + \"api/references/from_list\",\n",
    "        \n",
    "        json={\"ids\" : list_of_references}\n",
    "        \n",
    "    ).json()\n",
    "get_memprotmd_reference_list([\"PDB|1a0s\", \"PDB|1bcc\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "#### Searching MemProtMD\n",
    "\n",
    "**Simple Search** POST to http://memprotmd.bioch.ox.ac.uk/api/search/simple with a JSON object in the POST body. The JSON object should contain a `searchTerm` (the string to search for) and may contain `numResults` - the number of results to send, `inDatabases` - a list of databases to look in and `sizeBias`, which controls how much the number of members a reference has should increase its relevance. Higher values will bias the search towards references with more members."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'_id': 'mpm|gpcrs',\n",
       "  'accession': 'gpcrs',\n",
       "  'db': 'mpm',\n",
       "  'fullscore': 1663.3,\n",
       "  'score': 3.3000000000000003,\n",
       "  'size': 166,\n",
       "  'title': 'G protein–coupled receptors (GPCRs)'},\n",
       " {'_id': 'Pfam|PF00001',\n",
       "  'accession': 'PF00001',\n",
       "  'db': 'Pfam',\n",
       "  'fullscore': 1540.828947368421,\n",
       "  'score': 0.8289473684210525,\n",
       "  'size': 154,\n",
       "  'subtitle': '7tm_1',\n",
       "  'title': '7 transmembrane receptor (rhodopsin family)'}]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def memprotmd_text_search(\n",
    "            search_term, \n",
    "            in_databases=[\"PDB\", \"mpm\", \"TCDB\", \"GO\", \"Pfam\"], \n",
    "            size_bias=0.1,\n",
    "            n_results=10):\n",
    "    \n",
    "    return requests.post(\n",
    "        \n",
    "        MEMPROTMD_ROOT_URI \n",
    "        + \"api/search/simple\",\n",
    "        \n",
    "        json={\n",
    "            \"searchTerm\" : search_term,\n",
    "            \"inDatabases\" : in_databases,\n",
    "            \"numResults\" : n_results,\n",
    "            \"sizeBias\" : size_bias\n",
    "        }\n",
    "        \n",
    "    ).json()\n",
    "\n",
    "memprotmd_text_search(\"gpcr\", n_results=2, size_bias=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "**Advanced Search** This is where things get fun (for MongoDB nerds like Tom). Advanced Search allows you to directly query the MongoDB dataset with a few restrictions:\n",
    "\n",
    "- We only permit a few dollar operators to be used. If you'd like to use one we're currently blocking, get in touch and we'll consider adding it. At present we allow `$or`, `$and`, `$ne`, `$eq`, `$lt`, `$gt`, `$not`, `$nin`, `$in` and `$elemMatch`.\n",
    "\n",
    "- You'll only be able to access the **refs**, **simulations** and **authors** collections. Sadly we've had to make the **shocking_secrets**, **banking_passwords** and **unpublished_structures** collections unavailable for the moment.\n",
    "\n",
    "- **We're watching you.** Be kind to our server or you'll be blocked for a few minutes.\n",
    "\n",
    "There are four parts to an advanced search. These should be familiar to anyone who's used MongoDB before:\n",
    "\n",
    "- Name of the collection to query\n",
    "- Query object\n",
    "- Projection object\n",
    "- Options object (e.g. sort, limit and skip)\n",
    "\n",
    "As an example, let's find all the records with a chain containing seven transmembrane alpha helices, return only the id, chainID, number of alpha helical elements and number of lipid molecules, then sort by the number of lipid molecules (ascending) and show the first one."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'_id': '5b35_default_dppc',\n",
       "  'chains': [{'chainID': 'A', 'tm_alpha': 7}],\n",
       "  'sim_validate': {'n_lipid_molecules': 96}}]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def memprotmd_advanced_search(collection_name, query, projection, options):\n",
    "    \n",
    "    return requests.post(\n",
    "        \n",
    "        MEMPROTMD_ROOT_URI \n",
    "        + \"api/search/advanced\",\n",
    "        \n",
    "        json={\n",
    "            \"collectionName\" : collection_name,\n",
    "            \"query\" : query,\n",
    "            \"projection\" : projection,\n",
    "            \"options\" : options\n",
    "        }\n",
    "        \n",
    "    ).json()\n",
    "\n",
    "memprotmd_advanced_search(\n",
    "    \n",
    "    # Use the simulation collection\n",
    "    \"simulations\",\n",
    "    \n",
    "    # Look in the chains array of each simulation and see if\n",
    "    # any element in the array has the field tm_alpha equal to 7\n",
    "    {\n",
    "        \"chains\" : {\n",
    "            \"$elemMatch\" : {\n",
    "                \"tm_alpha\" : 7\n",
    "            }\n",
    "        }\n",
    "    },\n",
    "    \n",
    "    # Projection - choose the fields to return. ID is returned\n",
    "    # by default.\n",
    "    {\n",
    "        \"chains.tm_alpha\" : 1, \n",
    "        \"chains.chainID\" : 1, \n",
    "        \"sim_validate.n_lipid_molecules\" : 1\n",
    "    },\n",
    "    \n",
    "    # Options - sort and then limit\n",
    "    {\n",
    "        \"sort\" : {\n",
    "            \"sim_validate.n_lipid_molecules\" : 1\n",
    "        }, \n",
    "        \"limit\" : 1\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Alternatively let's have an open query and projection which includes everything. I'm kind to servers and don't like being blocked so I only return the first one (you can definitely get away with occasionally pulling the entire dataset, but please limit your queries where possible!)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'_id': 'PDB|1a0s',\n",
       "  'accession': '1a0s',\n",
       "  'all_authors': ['Wacker, T.',\n",
       "   'Kreutz, W.',\n",
       "   'Welte, W.',\n",
       "   'Diederichs, K.',\n",
       "   'Benz, R.',\n",
       "   'Schulein, K.',\n",
       "   'Forst, D.'],\n",
       "  'copyright': {'license': 'PDB',\n",
       "   'origin': 'http://www.rcsb.org/pdb/explore/explore.do?structureId=1a0s',\n",
       "   'owner': 'Research Collaboration for Structural Biology, Wacker, T., Welte, W., Diederichs, K., Forst, D.',\n",
       "   'terms': 'http://www.rcsb.org/pdb/static.do?p=general_information/about_pdb/pdb_advisory.html'},\n",
       "  'db': 'PDB',\n",
       "  'db_version': '2017-02-07T03:45:49',\n",
       "  'entities': [{'chains': ['P', 'Q', 'R'],\n",
       "    'description': 'Sucrose porin',\n",
       "    'refs': [{'accession': 'P22340',\n",
       "      'db': 'UniProt',\n",
       "      'key': 'UniProt|P22340',\n",
       "      'valid': True}],\n",
       "    'type': 'protein'}],\n",
       "  'experimental_method': 'X-RAY DIFFRACTION',\n",
       "  'first_published': '1998-06-10',\n",
       "  'href': 'http://www.rcsb.org/pdb/explore/explore.do?structureId=1a0s',\n",
       "  'in_collections': [{'accession': '1',\n",
       "    'db': 'TCDB',\n",
       "    'key': 'TCDB|1',\n",
       "    'level': 1},\n",
       "   {'accession': '1.B', 'db': 'TCDB', 'key': 'TCDB|1.B', 'level': 2},\n",
       "   {'accession': '1.B.3', 'db': 'TCDB', 'key': 'TCDB|1.B.3', 'level': 3},\n",
       "   {'accession': '1.B.3.1', 'db': 'TCDB', 'key': 'TCDB|1.B.3.1', 'level': 4},\n",
       "   {'accession': '1.B.3.1.2',\n",
       "    'db': 'TCDB',\n",
       "    'key': 'TCDB|1.B.3.1.2',\n",
       "    'level': 5},\n",
       "   {'accession': 'protein-1a0t',\n",
       "    'db': 'mpstruc',\n",
       "    'key': 'mpstruc|protein-1a0t',\n",
       "    'level': 4},\n",
       "   {'accession': 'beta-barrel-membrane-proteins-porins-and-relatives',\n",
       "    'db': 'mpstruc',\n",
       "    'key': 'mpstruc|beta-barrel-membrane-proteins-porins-and-relatives',\n",
       "    'level': 3},\n",
       "   {'accession': 'transmembrane-proteins-beta-barrel',\n",
       "    'db': 'mpstruc',\n",
       "    'key': 'mpstruc|transmembrane-proteins-beta-barrel',\n",
       "    'level': 2},\n",
       "   {'accession': 'mpstruc',\n",
       "    'db': 'mpstruc',\n",
       "    'key': 'mpstruc|mpstruc',\n",
       "    'level': 1},\n",
       "   {'accession': 'P22340',\n",
       "    'chains': ['Q', 'P', 'R'],\n",
       "    'db': 'UniProt',\n",
       "    'key': 'UniProt|P22340'},\n",
       "   {'accession': 'GO:0009279',\n",
       "    'chains': ['Q', 'P', 'R'],\n",
       "    'db': 'GO',\n",
       "    'key': 'GO|GO:0009279'},\n",
       "   {'accession': 'GO:0046930',\n",
       "    'chains': ['Q', 'P', 'R'],\n",
       "    'db': 'GO',\n",
       "    'key': 'GO|GO:0046930'},\n",
       "   {'accession': 'GO:0015288',\n",
       "    'chains': ['Q', 'P', 'R'],\n",
       "    'db': 'GO',\n",
       "    'key': 'GO|GO:0015288'},\n",
       "   {'accession': 'GO:0008643',\n",
       "    'chains': ['Q', 'P', 'R'],\n",
       "    'db': 'GO',\n",
       "    'key': 'GO|GO:0008643'},\n",
       "   {'accession': 'GO:0006811',\n",
       "    'chains': ['Q', 'P', 'R'],\n",
       "    'db': 'GO',\n",
       "    'key': 'GO|GO:0006811'},\n",
       "   {'accession': 'PF02264',\n",
       "    'chains': ['Q', 'P', 'R'],\n",
       "    'db': 'Pfam',\n",
       "    'key': 'Pfam|PF02264'},\n",
       "   {'accession': 'PF11471',\n",
       "    'chains': ['Q', 'P', 'R'],\n",
       "    'db': 'Pfam',\n",
       "    'key': 'Pfam|PF11471'},\n",
       "   {'accession': 'membrane_proteins',\n",
       "    'db': 'mpm',\n",
       "    'key': 'mpm|membrane_proteins',\n",
       "    'score': 100},\n",
       "   {'accession': 'outer_membrane_proteins',\n",
       "    'db': 'mpm',\n",
       "    'key': 'mpm|outer_membrane_proteins',\n",
       "    'score': 260},\n",
       "   {'accession': 'beta_barrel',\n",
       "    'db': 'mpm',\n",
       "    'key': 'mpm|beta_barrel',\n",
       "    'score': 430}],\n",
       "  'is_structure': True,\n",
       "  'keywords': ['outer membrane protein', 'porin'],\n",
       "  'keywords_string': 'Outer Membrane Protein, Porin',\n",
       "  'ligands': [{'description': 'CALCIUM ION', 'ligand_id': 'CA'}],\n",
       "  'mpm_type': 'structure',\n",
       "  'n_simulations': 1,\n",
       "  'needs_update': False,\n",
       "  'organism': {'common_name': None,\n",
       "   'count': 1,\n",
       "   'scientific_name': 'Salmonella typhimurium',\n",
       "   'taxon_ncbi': '90371'},\n",
       "  'parent': 'mpstruc|protein-1a0t',\n",
       "  'primary_authors': ['Wacker, T.',\n",
       "   'Welte, W.',\n",
       "   'Diederichs, K.',\n",
       "   'Forst, D.'],\n",
       "  'primary_citation': {'DOI': '10.1038/nsb0198-37',\n",
       "   'journal': 'Nat.Struct.Biol.',\n",
       "   'title': 'Structure of the sucrose-specific porin ScrY from Salmonella typhimurium and its complex with sucrose.',\n",
       "   'year': '1998'},\n",
       "  'ref_key': 'PDB|1a0s',\n",
       "  'resolution': '2.4',\n",
       "  'sim_chains_meta': [{'chainID': 'Q',\n",
       "    'tm': 'membrane spanning',\n",
       "    'tm_ss': 'beta'},\n",
       "   {'chainID': 'P', 'tm': 'membrane spanning', 'tm_ss': 'beta'},\n",
       "   {'chainID': 'R', 'tm': 'membrane spanning', 'tm_ss': 'beta'}],\n",
       "  'simulations': ['1a0s_default_dppc'],\n",
       "  'subcellular_location': ['Cell outer membrane'],\n",
       "  'subtitle': 'SUCROSE-SPECIFIC PORIN',\n",
       "  'title': 'ScrY sucrose-specific porin',\n",
       "  'tree': 'mpstruc',\n",
       "  'updated_at': 1485107167.114442}]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "memprotmd_advanced_search(\n",
    "    \"refs\",\n",
    "    {},\n",
    "    {},\n",
    "    {\"limit\" : 1})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'_id': '4jbw_default_dppc',\n",
       "  'accession': '4jbw',\n",
       "  'chains': [{'chainID': 'A',\n",
       "    'count': 1,\n",
       "    'tm_alpha': 0,\n",
       "    'tm_alpha_lipid': 0,\n",
       "    'tm_alpha_protein': 0,\n",
       "    'tm_alpha_solvent': 0,\n",
       "    'tm_beta': 0,\n",
       "    'tm_beta_lipid': 0,\n",
       "    'tm_beta_protein': 0,\n",
       "    'tm_beta_solvent': 0,\n",
       "    'type': 'touching'},\n",
       "   {'chainID': 'B',\n",
       "    'count': 1,\n",
       "    'tm_alpha': 0,\n",
       "    'tm_alpha_lipid': 0,\n",
       "    'tm_alpha_protein': 0,\n",
       "    'tm_alpha_solvent': 0,\n",
       "    'tm_beta': 0,\n",
       "    'tm_beta_lipid': 0,\n",
       "    'tm_beta_protein': 0,\n",
       "    'tm_beta_solvent': 0,\n",
       "    'type': 'touching'},\n",
       "   {'chainID': 'F',\n",
       "    'count': 1,\n",
       "    'tm_alpha': 8,\n",
       "    'tm_alpha_lipid': 8,\n",
       "    'tm_alpha_protein': 0,\n",
       "    'tm_alpha_solvent': 0,\n",
       "    'tm_beta': 0,\n",
       "    'tm_beta_lipid': 0,\n",
       "    'tm_beta_protein': 0,\n",
       "    'tm_beta_solvent': 0,\n",
       "    'type': 'membrane spanning'},\n",
       "   {'chainID': 'G',\n",
       "    'count': 1,\n",
       "    'tm_alpha': 6,\n",
       "    'tm_alpha_lipid': 5,\n",
       "    'tm_alpha_protein': 0,\n",
       "    'tm_alpha_solvent': 1,\n",
       "    'tm_beta': 0,\n",
       "    'tm_beta_lipid': 0,\n",
       "    'tm_beta_protein': 0,\n",
       "    'tm_beta_solvent': 0,\n",
       "    'type': 'membrane spanning'},\n",
       "   {'chainID': 'M',\n",
       "    'count': 1,\n",
       "    'tm_alpha': 0,\n",
       "    'tm_alpha_lipid': 0,\n",
       "    'tm_alpha_protein': 0,\n",
       "    'tm_alpha_solvent': 0,\n",
       "    'tm_beta': 0,\n",
       "    'tm_beta_lipid': 0,\n",
       "    'tm_beta_protein': 0,\n",
       "    'tm_beta_solvent': 0,\n",
       "    'type': 'no membrane'},\n",
       "   {'chainID': 'N',\n",
       "    'count': 1,\n",
       "    'tm_alpha': 0,\n",
       "    'tm_alpha_lipid': 0,\n",
       "    'tm_alpha_protein': 0,\n",
       "    'tm_alpha_solvent': 0,\n",
       "    'tm_beta': 0,\n",
       "    'tm_beta_lipid': 0,\n",
       "    'tm_beta_protein': 0,\n",
       "    'tm_beta_solvent': 0,\n",
       "    'type': 'no membrane'}],\n",
       "  'composition': {'DPPC': 100},\n",
       "  'db': 'PDB',\n",
       "  'db_version': '2017-02-07T03:45:49',\n",
       "  'images': {'bottom-cartoon': 'simulations/4jbw_default_dppc/images/bottom-cartoon.jpg',\n",
       "   'bottom-distortions': 'simulations/4jbw_default_dppc/images/bottom-distortions.jpg',\n",
       "   'front-at_lipids': 'simulations/4jbw_default_dppc/images/front-at_lipids.jpg',\n",
       "   'front-cartoon': 'simulations/4jbw_default_dppc/images/front-cartoon.jpg',\n",
       "   'front-cg_lipids': 'simulations/4jbw_default_dppc/images/front-cg_lipids.jpg',\n",
       "   'front-contacts-head-cartoon': 'simulations/4jbw_default_dppc/images/front-contacts-head-cartoon.jpg',\n",
       "   'front-contacts-head-surface': 'simulations/4jbw_default_dppc/images/front-contacts-head-surface.jpg',\n",
       "   'front-contacts-solvent-cartoon': 'simulations/4jbw_default_dppc/images/front-contacts-solvent-cartoon.jpg',\n",
       "   'front-contacts-solvent-surface': 'simulations/4jbw_default_dppc/images/front-contacts-solvent-surface.jpg',\n",
       "   'front-contacts-tail-cartoon': 'simulations/4jbw_default_dppc/images/front-contacts-tail-cartoon.jpg',\n",
       "   'front-contacts-tail-surface': 'simulations/4jbw_default_dppc/images/front-contacts-tail-surface.jpg',\n",
       "   'front-distortions': 'simulations/4jbw_default_dppc/images/front-distortions.jpg',\n",
       "   'thumb_100': 'simulations/4jbw_default_dppc/images/thumb_100.jpg',\n",
       "   'thumb_250': 'simulations/4jbw_default_dppc/images/thumb_250.jpg',\n",
       "   'thumb_50': 'simulations/4jbw_default_dppc/images/thumb_50.jpg',\n",
       "   'top-cartoon': 'simulations/4jbw_default_dppc/images/top-cartoon.jpg',\n",
       "   'top-distortions': 'simulations/4jbw_default_dppc/images/top-distortions.jpg'},\n",
       "  'last_update_time': 1392646060,\n",
       "  'leaflet_summary': {'lower': 0.5150218278107779,\n",
       "   'n_lower_to_upper': 0,\n",
       "   'n_upper_to_lower': 0,\n",
       "   'upper': 0.4848522149860445},\n",
       "  'n_chains': 6,\n",
       "  'ref_key': 'PDB|4jbw',\n",
       "  'sim_complete_time': 1478816920,\n",
       "  'sim_validate': {'n_frames': 4001,\n",
       "   'n_lipid_molecules': 699,\n",
       "   'n_protein_residues': 1818,\n",
       "   'tm_span': 40},\n",
       "  'thinning': {'annular_mid': 121.77197647094727,\n",
       "   'annular_thickness': 37.161460876464844,\n",
       "   'bulk_mid': 121.63355255126953,\n",
       "   'bulk_thickness': 39.87504577636719,\n",
       "   'mid_diff': 0.13842391967773438,\n",
       "   'thickness_diff': -2.7135848999023438}}]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "memprotmd_advanced_search(\n",
    "    \"simulations\",\n",
    "    {},\n",
    "    {},\n",
    "    {\"limit\" : 1})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'_id': 'Rodriguez, F.',\n",
       "  'author_on': ['PDB|2lzr', 'PDB|4b4a'],\n",
       "  'copublished_with': [{'count': 2, 'id': 'Berks, B.C.'},\n",
       "   {'count': 1, 'id': 'Palmer, T.'},\n",
       "   {'count': 1, 'id': 'Sansom, M.S.'},\n",
       "   {'count': 1, 'id': 'Tait, C.E.'},\n",
       "   {'count': 1, 'id': 'Stansfeld, P.J.'},\n",
       "   {'count': 1, 'id': 'Mcdowell, M.A.'},\n",
       "   {'count': 1, 'id': 'Johnson, S.'},\n",
       "   {'count': 1, 'id': 'Liu, S.'},\n",
       "   {'count': 1, 'id': 'Timmel, C.R.'},\n",
       "   {'count': 1, 'id': 'Krehenbrink, M.'},\n",
       "   {'count': 1, 'id': 'Graham, J.E.'},\n",
       "   {'count': 1, 'id': 'Schnell, J.R.'},\n",
       "   {'count': 1, 'id': 'Lea, S.M.'},\n",
       "   {'count': 1, 'id': 'Rouse, S.L.'},\n",
       "   {'count': 1, 'id': 'Roversi, P.'},\n",
       "   {'count': 1, 'id': 'Hogbom, M.'},\n",
       "   {'count': 1, 'id': 'Harmer, J.'},\n",
       "   {'count': 1, 'id': 'Jager, F.'},\n",
       "   {'count': 1, 'id': 'Sansom, M.S.P.'},\n",
       "   {'count': 1, 'id': 'De Riso, A.'},\n",
       "   {'count': 1, 'id': 'Robinson, C.V.'},\n",
       "   {'count': 1, 'id': 'Marcoux, J.'},\n",
       "   {'count': 1, 'id': 'Tarry, M.J.'},\n",
       "   {'count': 1, 'id': 'Rollauer, S.E.'},\n",
       "   {'count': 1, 'id': 'Jaaskelainen, M.'},\n",
       "   {'count': 1, 'id': 'Lukey, M.J.'}],\n",
       "  'db_version': '2017-02-07T03:45:49',\n",
       "  'n_structures': 2}]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "memprotmd_advanced_search(\n",
    "    \"authors\",\n",
    "    {},\n",
    "    {},\n",
    "    {\"limit\" : 1})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "If it didn't work our server will be as helpful as possible:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'forbidden': '$doSomethingShady is not permitted.'}"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "memprotmd_advanced_search(\n",
    "    \"authors\",\n",
    "    {\"$doSomethingShady\" : \"secrets\"},\n",
    "    {},\n",
    "    {\"limit\" : 1})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Data API\n",
    "\n",
    "The Data API behaves like a normal filesystem (although we don't provide anything that acts like an index). Make an HTTP GET request and we'll send you the files. These examples use `matplotlib` and `pandas`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "% matplotlib inline\n",
    "import pandas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Let's have some fun and download the postprocessed (annotated) contacts file for 1a0s_default_dppc, plot a histogram of temperature (&beta;) factors and a line graph of contacts along the amino acid sequence."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x114da8198>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1147be128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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TPhxIDxlgMT437uoHFqzi8NdmtJuYKmerc5HeVgOv1M0DxT1QGeG/Y1Dl0hCI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\nMzMzMzPLATfOzMzMzMzMcuD/ASeFusGIDtfRAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114d66a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def get_resid_contacts(sim_id):\n",
    "    return pandas.read_csv(\n",
    "        MEMPROTMD_ROOT_URI \n",
    "        + \"data/memprotmd/simulations/\"\n",
    "        + sim_id\n",
    "        + \"/files/contacts/by_resid_postprocess.csv\"\n",
    "    )\n",
    "contacts = get_resid_contacts(\"1a0s_default_dppc\")\n",
    "\n",
    "contacts.hist(\"tempFactor\")\n",
    "contacts.plot(\n",
    "    y=[\"group=Tail\", \"group=Head\"], \n",
    "    x=[\"resSeq\"], \n",
    "    color=[\"orange\", \"green\"],\n",
    "    figsize=[15,4])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "You can also load structures from MemProtMD using mdtraj (or similar product):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "import mdtraj as md\n",
    "import nglview as nv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
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   "outputs": [],
   "source": [
    "def mdtraj_load_memprotmd(sim_id, structure_name):\n",
    "    traj = md.load_pdb( MEMPROTMD_ROOT_URI \n",
    "                + \"data/memprotmd/simulations/\"\n",
    "                + sim_id\n",
    "                + \"/files/structures/\"\n",
    "                + structure_name\n",
    "                + \".pdb\")\n",
    "    return traj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
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   "outputs": [],
   "source": [
    "traj = mdtraj_load_memprotmd(\"1afo_default_dppc\", \"at\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
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   "source": [
    "protein_view = nv.show_mdtraj(traj.atom_slice(traj.topology.select(\"resid < 40\")))\n",
    "protein_view.add_ball_and_stick(opacity=0.5)\n",
    "protein_view"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "cg_traj = mdtraj_load_memprotmd(\"1afo_default_dppc\", \"cg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
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   "outputs": [],
   "source": [
    "cg_view = nv.show_mdtraj(cg_traj)\n",
    "cg_view.add_hyperball(radius=4, shrink=0.44, scale=0.6)\n",
    "cg_view"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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   "source": [
    "You should now have most of the materials you need for some bioinformatics fun!"
   ]
  }
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