Drug-target binding affinity prediction using message passing neural network and self supervised learning

Leiming Xia; Lei Xu; Shourun Pan; Dongjiang Niu; Beiyi Zhang; Zhen Li

doi:10.1186/s12864-023-09664-z

ScienceGate Book Chapters

JOURNAL ARTICLE

Drug-target binding affinity prediction using message passing neural network and self supervised learning

Leiming Xia Lei Xu Shourun Pan Dongjiang Niu Beiyi Zhang Zhen Li

Year: 2023 Journal: BMC Genomics Vol: 24 (1)Pages: 557-557 Publisher: BioMed Central

DOI: 10.1186/s12864-023-09664-z

Get Full-Text PDF Get Analytical Report

Keywords:

Artificial intelligence Computer science Deep learning Machine learning Embedding Artificial neural network Representation (politics) Virtual screening Drug target Drug discovery Pattern recognition (psychology) Data mining Bioinformatics Biology

Metrics

Cited By

13.59

FWCI (Field Weighted Citation Impact)

Refs

0.98

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Computational Drug Discovery Methods

Physical Sciences → Computer Science → Computational Theory and Mathematics

Protein Structure and Dynamics

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Chemical Synthesis and Analysis

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Drug-target binding affinity prediction using message passing neural network and self supervised learning

Metrics

Citation History

Topics

Related Documents

Improving drug–target affinity prediction by adaptive self-supervised learning

Binding affinity prediction for binary drug–target interactions using semi-supervised transfer learning

Prediction of drug–target binding affinity using similarity-based convolutional neural network

Simplified directional message passing neural network for prediction of protein-ligand binding affinity

Simplified Directional Message Passing Neural Network for Prediction of Protein-Ligand Binding Affinity