Mapping the Unexplored Target Space for Therapeutics Bioprospection through Network Pharmacology

Le résumé fourni par la source

The growing complexity of diabetes mellitus, driven by multifactorial etiologies and systemic complications, has necessitated a paradigm shift from single-target therapeutics to multi-target drug discovery. This chapter examines the application of network pharmacology in mapping the unexplored target space for antidiabetic drug development. By integrating data from bioinformatics, systems biology, and cheminformatics, network pharmacology facilitates identification of novel drug-target-disease relationships, enabling a more holistic understanding of disease pathophysiology. The chapter outlines methods for mapping the interaction of bioactive compounds with targets, pathways, and diseases with a view to highlighting emerging targets modulated by natural products that present new therapeutic opportunities. Furthermore, the possibility of repositioning existing drugs and natural compounds as multi-target antidiabetic agents through network-based strategies is discussed. Case studies demonstrating natural product-derived bioprospection and in silico analyses are also presented. Ultimately, the chapter underscores the transformative role of network pharmacology in advancing precision medicine and repurposing strategies for effective antidiabetic therapy.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.