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docs/talktorials/T028_kinase_similarity_compare_perspectives.nblink
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{"path": "../../teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/talktorial.ipynb", "extra-media": ["../../teachopencadd/talktorials/T028_kinase_similarity_compare_perspectives/images"]} |
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# T023 · What is a kinase? | ||
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Authors: | ||
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- Dominique Sydow, 2021, [Volkamer lab, Charité](https://volkamerlab.org/) | ||
- Talia B. Kimber, 2021, [Volkamer lab, Charité](https://volkamerlab.org/) | ||
- Andrea Volkamer, 2021, [Volkamer lab, Charité](https://volkamerlab.org/) | ||
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## Aim of this talktorial | ||
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In this talktorial, we will talk about kinases: why are they important in life and drug design, what do they look like, and what data resources are available? | ||
Finally, we select a set of kinases which will be analyzed in the forthcoming talktorials **T024**-**T028** with respect to their similarity, the goal being to gain insight into potential off-target effects. | ||
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### Contents in *Theory* | ||
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- Kinases in a nutshell | ||
- The human kinome | ||
- Kinase structures and important motifs | ||
- Kinase resources | ||
- Kinase structures and related information | ||
- Bioactivity data | ||
- Kinase similarity: Off-targets and promiscuous binding | ||
- Kinase dataset compilation | ||
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### Contents in *Practical* | ||
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- Define the kinases of interest | ||
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### References | ||
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- Kinases as drug targets: [<i>Nat. Rev. Drug Discov.</i> (2021), <b>20(7)</b>, 551-569](https://doi.org/10.1038/s41573-021-00195-4) | ||
- Sequence-based kinase clustering: Manning et al. [<i>Science</i> (2002), <b>298(5600)</b>, 1912-1934](https://doi.org/10.1126/science.1075762) | ||
- KinMap: | ||
- Paper: [<i>BMC Bioinformatics</i> (2017), <b>18</b>, 16](https://dx.doi.org/10.1186%2Fs12859-016-1433-7) | ||
- Website: http://www.kinhub.org/kinmap/ | ||
- KLIFS | ||
- KLIFS URL: https://klifs.net/ | ||
- KLIFS database: [<i>Nucleic Acid Res.</i> (2020), <b>49(D1)</b>, D562-D569](https://doi.org/10.1093/nar/gkaa895) | ||
- KLIFS binding site definition: [<i>J. Med. Chem.</i> (2014), <b>57(2)</b>, 249-277](https://doi.org/10.1021/jm400378w) | ||
- Bioactivity data | ||
- Karaman et al. dataset: [<i>Nature Biotechnology</i> (2008), <b>26</b>, 127-132](https://doi.org/10.1038/nbt1358) | ||
- Davis et al. dataset: [<i>Nature Biotechnology</i> (2011), <b>29</b>, 1046-1051](https://doi.org/10.1038/nbt.1990) | ||
- KIBA dataset: [<i>J. Chem. Inf. Model.</i> (2014), <b>54(3)</b>, 753-743](https://doi.org/10.1021/ci400709d) | ||
- PKIS dataset: [<i>PLOS ONE</i> (2017), <b>12</b>, 1-20](https://doi.org/10.1371/journal.pone.0181585) | ||
- Kinase selection: [<i>Molecules</i> (2021), <b>26(3)</b>, 629](https://www.mdpi.com/1420-3049/26/3/629) |
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teachopencadd/talktorials/T023_what_is_a_kinase/data/README.md
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# Data | ||
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This folder stores input and output data for the Jupyter notebook. | ||
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- `xxx.csv`: Describe data. | ||
- `xxx.sdf`: Describe data. |
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teachopencadd/talktorials/T023_what_is_a_kinase/data/kinase_selection.csv
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kinase,kinase_klifs,uniprot_id,group,full_kinase_name | ||
EGFR,EGFR,P00533,TK,Epidermal growth factor receptor | ||
ErbB2,ErbB2,P04626,TK,Erythroblastic leukemia viral oncogene homolog 2 | ||
PI3K,p110a,P42336,Atypical,Phosphatidylinositol-3-kinase | ||
VEGFR2,KDR,P35968,TK,Vascular endothelial growth factor receptor 2 | ||
BRAF,BRAF,P15056,TKL,Rapidly accelerated fibrosarcoma isoform B | ||
CDK2,CDK2,P24941,CMGC,Cyclic-dependent kinase 2 | ||
LCK,LCK,P06239,TK,Lymphocyte-specific protein tyrosine kinase | ||
MET,MET,P08581,TK,Mesenchymal-epithelial transition factor | ||
p38a,p38a,Q16539,CMGC,p38 mitogen activated protein kinase alpha |
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