A generalized protein–ligand scoring framework with balanced scoring, docking, ranking and screening powers

Author:

Shen Chao1234ORCID,Zhang Xujun1,Hsieh Chang-Yu1ORCID,Deng Yafeng4,Wang Dong1,Xu Lei5ORCID,Wu Jian3,Li Dan1ORCID,Kang Yu1ORCID,Hou Tingjun12ORCID,Pan Peichen1ORCID

Affiliation:

1. Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China

2. State Key Lab of CAD&CG, Zhejiang University, Hangzhou 310058, Zhejiang, China

3. School of Public Health, Zhejiang University, Hangzhou 310058, Zhejiang, China

4. CarbonSilicon AI Technology Co., Ltd, Hangzhou 310018, Zhejiang, China

5. Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou 213001, China

Abstract

A generalized protein–ligand scoring framework with balanced scoring, docking, ranking and screening powers are developed here.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemistry

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