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DOI 10.12688/f1000research.161261.2

Медицинская библиотека · F1000Research · 2025

Nat-UV DB: A Natural Products Database Underlying of Veracruz-Mexico.

López-López Edgar, Hernández-Segura Ana Margarita, Lara-Cuellar Carlos, Barrientos-Salcedo Carolina, Cerda-García-Rojas Carlos M, Medina-Franco José L

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Аннотация

BACKGROUND

Natural products databases are well-structured data sources that offer new molecular development opportunities in drug discovery, agrochemistry, food, cosmetics, and several other research disciplines or chemical industries. The crescent world's interest in the development of these databases is related to the exploration of chemical diversity in geographical regions with rich biodiversity.

METHODS

In this work, we introduce and discuss Nat-UV DB, the first natural products database from a coastal zone of Mexico. We discuss its construction, curation, and chemoinformatic characterization of their content, and chemical space coverage compared with other compound databases, like approved drugs, and other Mexican (BIOFACQUIM and UNIIQUIM databases) and the Latin American natural products database (LaNAPDB).

RESULTS

Nat-UV DB comprises 227 compounds that contain 112 scaffolds, of which 52 are not present in previous natural product databases. The compounds present in Nat-UV DB have a similar size, flexibility, and polarity to previously reported natural products and approved drug datasets.

CONCLUSIONS

Nat-UV DB compounds have a higher structural and scaffold diversity than the approved drugs, but they have low structural and scaffold diversity in contrast with other natural products in the reference datasets. This database serves as a valuable addition to the global natural products landscape, bridging gaps in exploring biodiversity-rich regions.

Для цитирования: López-López Edgar, Hernández-Segura Ana Margarita, Lara-Cuellar Carlos, Barrientos-Salcedo Carolina, Cerda-García-Rojas Carlos M, Medina-Franco José L. Nat-UV DB: A Natural Products Database Underlying of Veracruz-Mexico.. F1000Research. 2025. DOI: 10.12688/f1000research.161261.2.

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