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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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Institution: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

Release Time:2023-09-26

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Personal information

Associate Professor
Supervisor of Doctorate Candidates
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

Faculty/School : School of Physics

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