Difficulty in chirality recognition for Transformer architectures learning chemical structures from string representations

Abstract Recent years have seen rapid development of descriptor generation based on representation learning of extremely diverse molecules, especially those that apply natural language processing (NLP) models to SMILES, a literal representation of molecular structure. However, little research has be...

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Bibliographic Details
Main Authors: Yasuhiro Yoshikai, Tadahaya Mizuno, Shumpei Nemoto, Hiroyuki Kusuhara
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-45102-8