Cheminformatics and artificial intelligence for accelerating agrochemical discovery

Cheminformatics and artificial intelligence for accelerating agrochemical discovery

The global cost-benefit analysis of pesticide use during the last 30 years has been characterized by a significant increase during the period from 1990 to 2007 followed by a decline. This observation can be attributed to several factors including, but not limited to, pest resistance, lack of novelty...

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Bibliographic Details
Main Authors: Yannick Djoumbou-Feunang, Jeremy Wilmot, John Kinney, Pritam Chanda, Pulan Yu, Avery Sader, Max Sharifi, Scott Smith, Junjun Ou, Jie Hu, Elizabeth Shipp, Dirk Tomandl, Siva P. Kumpatla
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Chemistry
Subjects:
agrochemicals
DMTA cycle
cheminformatics
artificial intelligence
machine learning
lead generation
Online Access:https://www.frontiersin.org/articles/10.3389/fchem.2023.1292027/full

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https://www.frontiersin.org/articles/10.3389/fchem.2023.1292027/full

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