Issue 98, 2020

Deep learning model predicts water interaction sites on the surface of proteins using limited-resolution data

Abstract

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.

Graphical abstract: Deep learning model predicts water interaction sites on the surface of proteins using limited-resolution data

Supplementary files

Article information

Article type
Communication
Submitted
24 Jun 2020
Accepted
14 Oct 2020
First published
19 Oct 2020

Chem. Commun., 2020,56, 15454-15457

Deep learning model predicts water interaction sites on the surface of proteins using limited-resolution data

J. Zaucha, C. A. Softley, M. Sattler, D. Frishman and G. M. Popowicz, Chem. Commun., 2020, 56, 15454 DOI: 10.1039/D0CC04383D

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