Harnessing the Potential of Natural Products in Insecticide Discovery: A Cheminformatics Approach


Por: Victoria-Muñoz F., Torres Garcia A.D., Sierra C., Koch O., Sanchez-Cruz N.

Publicada: 1 ene 2025
Resumen:
© 2025 American Chemical SocietyDeveloping new insecticides is a vital necessity for modern agriculture. Problems such as toxicity, bioaccumulation, and application difficulties significantly impact the safety and usage of these compounds. Exploring new options with volatile molecules derived from natural resources offers the possibility of utilizing these compounds in large-scale agriculture. In this study, we utilized insecticide data, volatile compounds, and insecticide target-associated compounds (ITAC) to perform a cheminformatic comparison and identify similar molecules in natural products that exhibit volatility and insecticidal activity characteristics. Our findings showed convergence between volatility, insecticidal properties, and the natural origin of multiple compounds. Additionally, various scaffolds and substructures found in insecticidal compounds were identified in natural products with potential volatility. These shared compounds exhibited high normalized spatial score values, emphasizing their structural complexity. Results that, from an enhanced perspective, show the feasibility of using natural products for agriculture and their capacity to address multiple problems simultaneously.

Filiaciones:
Victoria-Muñoz F.:
 Institute of Pharmaceutical and Medicinal Chemistry, Universität Münster, 48149 Münster, Germany

 Macromolecules Group, Departamento de Química, Universidad Nacional de Colombia, 111321 Bogotá, Colombia

Torres Garcia A.D.:
 Macromolecules Group, Departamento de Química, Universidad Nacional de Colombia, 111321 Bogotá, Colombia

Sierra C.:
 Macromolecules Group, Departamento de Química, Universidad Nacional de Colombia, 111321 Bogotá, Colombia

Koch O.:
 Institute of Pharmaceutical and Medicinal Chemistry, Universität Münster, 48149 Münster, Germany

 Center for Multiscale Theory and Computation, Universität Münster, 48149 Münster, Germany

Sanchez-Cruz N.:
 Computational Chemogenomics Group, Department of Physical Chemistry, Merida Research Unit, Institute of Chemistry, National Autonomous University of Mexico (UNAM), 97302 Merida, México
ISSN: 00218561
Editorial
American Chemical Society, 1155 16TH ST, NW, WASHINGTON, DC 20036 USA, Estados Unidos America
Tipo de documento: Article
Volumen: 73 Número: 52
Páginas: 32995-33004
WOS Id: 001642296800001
ID de PubMed: 41410316

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