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OnionNet-2: A Convolutional Neural Network Model for Predicting Protein-Ligand Binding Affinity Based on Residue-Atom Contacting Shells
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Affiliation of Author(s): : 物理学院

Title of Paper: : OnionNet-2: A Convolutional Neural Network Model for Predicting Protein-Ligand Binding Affinity Based on Residue-Atom Contacting Shells

Journal: : FRONTIERS IN CHEMISTRY

Key Words: : deep learning;onionnet;protein-ligand binding;residue-atom distance;structure-based affinity prediction

First Author: : 王泽琛

Document Code: : 1478208900724428801

Volume: : 9

Page Number: : 753002

Number of Words: : 5

Translation or Not: : no

Date of Publication: : 2021-10-27

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Associate Professor
Supervisor of Master's Candidates

Gender : Female

Alma Mater : 新加坡国立大学

Education Level : Postgraduate (Doctoral)

Degree : Doctor

Status : Employed

School/Department : 物理学院

Date of Employment : 2014-10-23

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