PUResNet: prediction of protein-ligand binding sites using deep residual neural network

PUResNet: prediction of protein-ligand binding sites using deep residual neural network

Abstract Background Predicting protein-ligand binding sites is a fundamental step in understanding the functional characteristics of proteins, which plays a vital role in elucidating different biological functions and is a crucial step in drug discovery. A protein exhibits its true nature after bind...

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Bibliographic Details
Main Authors: Jeevan Kandel, Hilal Tayara, Kil To Chong
Format: Article
Language:English
Published: BMC 2021-09-01
Series:Journal of Cheminformatics
Subjects:
Ligand binding sites
Binding site prediction
Deep residual network
Convolutional neural network
Data cleaning
Online Access:https://doi.org/10.1186/s13321-021-00547-7

Internet

https://doi.org/10.1186/s13321-021-00547-7

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