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Molecular Topology QSAR Strategy for Crop Protection: New Natural Fungicides with Chitin Inhibitory Activity
Author(s) -
María Gálvez-Llompart,
Riccardo Zanni,
Jorge Gálvez,
Ramón GarcíaDomenech
Publication year - 2020
Publication title -
acs omega
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.779
H-Index - 40
ISSN - 2470-1343
DOI - 10.1021/acsomega.0c00177
Subject(s) - quantitative structure–activity relationship , fungicide , chitin , context (archaeology) , biological system , linear discriminant analysis , chitinase , biochemical engineering , computer science , mathematics , chemistry , artificial intelligence , computational biology , combinatorial chemistry , biology , machine learning , biochemistry , botany , engineering , paleontology , chitosan , gene
Nowadays, crop protection is a major concern and how to proceed is a delicate point of contention. New products must be safe and ecofriendly in accordance with the actual legislation. In this context, we present a quantitative structure-activity relationship strategy based on molecular topology as a tool for generating natural products as potential fungicides following a mechanism of action based on the synthesis of chitin inhibition (chitinase inhibition). Two discriminant equations using statistical linear discriminant analysis were used to identify three potential candidates (1-methylxanthine, hematommic acid, and antheraxanthin). The equations showed accuracy and specificity levels above 80%, minimizing the risk of selecting false active compounds.

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