Ontology highlight
ABSTRACT:
SUBMITTER: Chan K
PROVIDER: S-EPMC10302643 | biostudies-literature | 2023 Jun
REPOSITORIES: biostudies-literature
Molecules (Basel, Switzerland) 20230613 12
Machine learning has revolutionized information processing for large datasets across various fields. However, its limited interpretability poses a significant challenge when applied to chemistry. In this study, we developed a set of simple molecular representations to capture the structural information of ligands in palladium-catalyzed Sonogashira coupling reactions of aryl bromides. Drawing inspiration from human understanding of catalytic cycles, we used a graph neural network to extract struc ...[more]