Predicting antibacterial activity from snake venom proteomes

English version

Autoři: Justin L. Rheubert ^aff001; Michael F. Meyer ^aff002; Raeshelle M. Strobel ^aff001; Megan A. Pasternak ^aff001; Robert A. Charvat ^aff001
Působiště autorů: Department of Biology, University of Findlay, Findlay, Ohio, United States of America ^aff001; School of the Environment, Washington State University, Pullman, Washington, United States of America ^aff002
Vyšlo v časopise: PLoS ONE 15(1)
Kategorie: Research Article
doi: https://doi.org/10.1371/journal.pone.0226807

Souhrn

The continued evolution of antibiotic resistance has increased the urgency for new antibiotic development, leading to exploration of non-traditional sources. In particular, snake venom has garnered attention for its potent antibacterial properties. Numerous studies describing snake venom proteomic composition as well as antibiotic efficacy have created an opportunity to synthesize relationships between venom proteomes and their antibacterial properties. Using literature reported values from peer-reviewed studies, our study generated models to predict efficacy given venom protein family composition, snake taxonomic family, bacterial Gram stain, bacterial morphology, and bacterial respiration strategy. We then applied our predictive models to untested snake species with known venom proteomic compositions. Overall, our results provide potential protein families that serve as accurate predictors of efficacy as well as promising organisms in terms of antibacterial properties of venom. The results from this study suggest potential future research trajectories for antibacterial properties in snake venom by offering hypotheses for a variety of taxa.

Klíčová slova:

Anaerobic bacteria – Antibacterials – Bacillus – Gram negative bacteria – Gram positive bacteria – Proteomes – Snakes – Venoms

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Predicting antibacterial activity from snake venom proteomes

Souhrn

Klíčová slova:

Zdroje

PLOS One

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Svět praktické medicíny 3/2024 (znalostní test z časopisu)

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