Deep learning model predicts water interaction sites on the surface of proteins using limited-resolution data.
Chem. Commun. 56, 15454-15457 (2020)
We develop a residual deep learning model, hotWater (https://pypi.org/project/hotWater/), to identify key water interaction sites on proteins for binding models and drug discovery. This is tested on new crystal structures, as well as cryo-EM and NMR structures from the PDB and in crystallographic refinement with promising results.
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Publication type
Article: Journal article
Document type
Scientific Article
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Keywords
Molecules; Design
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Language
english
Publication Year
2020
Prepublished in Year
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2020
ISSN (print) / ISBN
0009-241X
e-ISSN
1364-548X
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Volume: 56,
Issue: 98,
Pages: 15454-15457
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Publisher
Royal Society of Chemistry (RSC)
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Thomas Graham House, Science Park, Milton Rd, Cambridge Cb4 0wf, Cambs, England
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Reviewing status
Peer reviewed
POF-Topic(s)
30203 - Molecular Targets and Therapies
Research field(s)
Enabling and Novel Technologies
PSP Element(s)
G-503000-001
Grants
Sattler group
Popowicz group
Frishman group
Deutsche Forschungsgemeinschaft
European Union
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Erfassungsdatum
2021-02-09