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Artificial Intelligence: The Future for Organic Chemistry?

[Image: see text] On the basis of a recent article “Predicting reaction performance in C–N cross-coupling using machine learning” that appeared in Science, we had decided to highlight the way forward for artificial intelligence in chemistry. Synthesis of molecules remains one of the most important c...

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Detalles Bibliográficos
Autores principales: Peiretti, Franck, Brunel, Jean Michel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2018
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6645362/
https://www.ncbi.nlm.nih.gov/pubmed/31458044
http://dx.doi.org/10.1021/acsomega.8b01773
Descripción
Sumario:[Image: see text] On the basis of a recent article “Predicting reaction performance in C–N cross-coupling using machine learning” that appeared in Science, we had decided to highlight the way forward for artificial intelligence in chemistry. Synthesis of molecules remains one of the most important challenges in organic chemistry, and the standard approach involved by a chemist to solve a problem is based on experience and constitutes a repetitive, time-consuming task, often resulting in nonoptimized solutions. Thus, considering the recent phenomenal progresses that have been made in machine learning, there is little doubt that these systems, once fully operational in organic chemistry, will dramatically speed up development of new drugs and will constitute the future of chemistry.