Ontology highlight
ABSTRACT:
SUBMITTER: Struble TJ
PROVIDER: S-EPMC7457232 | biostudies-literature | 2020 Aug
REPOSITORIES: biostudies-literature
Journal of medicinal chemistry 20200414 16
Artificial intelligence and machine learning have demonstrated their potential role in predictive chemistry and synthetic planning of small molecules; there are at least a few reports of companies employing <i>in silico</i> synthetic planning into their overall approach to accessing target molecules. A data-driven synthesis planning program is one component being developed and evaluated by the Machine Learning for Pharmaceutical Discovery and Synthesis (MLPDS) consortium, comprising MIT and 13 c ...[more]