ViTScore: A Novel Three-Dimensional Vision Transformer Method for Accurate Prediction of Protein–Ligand Docking Poses-Reference-Cited by-同舟云学术

ViTScore: A Novel Three-Dimensional Vision Transformer Method for Accurate Prediction of Protein–Ligand Docking Poses

Published:2023-10 Issue:4 Volume:22 Page:734-743
ISSN:1536-1241
Container-title:IEEE Transactions on NanoBioscience
language:
Short-container-title:IEEE Trans.on Nanobioscience

Author:

Guo Linyuan¹^ORCID,Qiu Tian¹,Wang Jianxin¹^ORCID

Affiliation:

1. School of Computer Science and Engineering and the Hunan Provincial Key Laboratory on Bioinformatics, Central South University, Changsha, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities of Central South University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Pharmaceutical Science,Biomedical Engineering,Medicine (miscellaneous),Bioengineering,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/7728/10269102/10122240.pdf?arnumber=10122240

Reference49 articles.

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2. Scoring functions and their evaluation methods for protein–ligand docking: recent advances and future directions

3. LigandFit: a novel method for the shape-directed rapid docking of ligands to protein active sites

4. AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading;trott;J Comput Chem,2010

5. Comparative Assessment of Scoring Functions: The CASF-2016 Update

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