Predicting the price of molecules using their predicted synthetic pathways
Massina Abderrahmane,
Hamza Tajmouati,
Vinicius Barros Ribeiro da Silva
et al.
Abstract:Currently, numerous metrics allow chemists and computational chemists to refine and filter libraries of virtual molecules in order to prioritize their synthesis. Some of the most commonly used metrics and models are QSAR models, docking scores, diverse druggability metrics, and synthetic feasibility scores to name only a few. Among the known metrics, a function which estimates the price of a novel virtual molecule and which takes into account the availability and price of starting materials has never been cons… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.