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MetaMolES

License: MIT Build Status Coverage Status

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See our poster for the quarter summary here

Current Team Members: Ellie (elliej3), Ice (theicechol), Phil (philipjleung)

Previous Team Members: Stephen (blasks), and Yeon Mi (ymhwang414)

Current Work

UW-DIRECT Project on metabolite retrosynthetic analysis

  • Aim to utilize data science and software engineering intuition to find, and predict, a plausible metabolic pathway for production of a given molecule with retrosynthetic analysis approach.
  • Current focus is to find a novel promiscuous substrate for enzymatic transformation.

Future Work

  • Add compounds with canonical SMILES string but no isomeric SMILES string
  • Test inclusion of additional features, such as full chemical fingerprints and enzyme descriptors
  • Explore alternatives models such as SVMs, neural networks, decision trees/random forests, and ensemble methods
  • Extend approach to include non-promiscuous enzymes
  • Include simple chemical transformation for biocatalysis application

For thorough explanation, use cases, and project background --- Check out our Wiki

Dependencies

  • BioPython
  • PubChemPy
  • RDKit
  • pandas
  • sklearn
  • scipy
  • numpy

Graphical Explanation of our Goal

Expected_Output

A core workflow for MetaMolES

CoreWorkflow

How we calculate distance of desired compounds with enzyme substrate scope

Distance

How we curate the data

Functions

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UW-DIRECT Project on metabolite retrosynthetic analysis

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