SMG-BERT: integrating stereoscopic information and chemical representation for molecular property prediction

SMG-BERT: integrating stereoscopic information and chemical representation for molecular property prediction

Molecular property prediction is a crucial task in various fields and has recently garnered significant attention. To achieve accurate and fast prediction of molecular properties, machine learning (ML) models have been widely employed due to their superior performance compared to traditional methods...

Full description

Bibliographic Details
Main Authors: Jiahui Zhang, Wenjie Du, Xiaoting Yang, Di Wu, Jiahe Li, Kun Wang, Yang Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Molecular Biosciences
Subjects:
molecular property prediction
chemical feature fusion
unambiguous molecular descriptor
molecular representation learning
molecular stereoscopic information
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2023.1216765/full

Internet

https://www.frontiersin.org/articles/10.3389/fmolb.2023.1216765/full

Similar Items