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Computer-Assisted Improvement of Sulfonylureas with Antifungal Properties and Limited Herbicidal Activity: Potential Application in Forage Conservation

Authors :
Adriana C. de Faria
Joyce K. Daré
Elaine F. F. da Cunha
Matheus P. Freitas
Source :
Journal of Agricultural and Food Chemistry. 70:3321-3330
Publication Year :
2022
Publisher :
American Chemical Society (ACS), 2022.

Abstract

This work reports studies at the molecular level of a series of modified sulfonylureas to determine the chemophoric sites responsible for their antifungal and herbicidal activities. For forage conservation, high antifungal potency and low phytotoxicity are required. A molecular modeling study based on multivariate image analysis applied to quantitative structure-activity relationship (MIA-QSAR) was performed to model these properties, as well as to guide the design of new agrochemical candidates. As a result, the MIA-QSAR models were reliable, robust, and predictive; for antifungal activity, the averages of the main validation parameters were

Details

ISSN :
15205118 and 00218561
Volume :
70
Database :
OpenAIRE
Journal :
Journal of Agricultural and Food Chemistry
Accession number :
edsair.doi.dedup.....c5cdb1d6ddc7451c49c0ff9d216766a5
Full Text :
https://doi.org/10.1021/acs.jafc.1c07352