Evento

Quercetin as a multitarget inhibitor: poor selectivity or something else?

Conti, German Andrés ; Gómez Chávez, José Leonardo Icon; Perez, Ernesto Rafael Icon; Angelina, Emilio Luis Icon; Peruchena, Nelida Maria Icon

Otros responsables

Fecha

2022

Editorial

Asociación Argentina de Bioinformática y Biología Computacional

Revista

Título del libro

Nombre del evento

XII Congreso Argentino de Bioinformática y Biología Computacional

Fecha del evento

2022-11-24

Institución organizadora

Asociación Argentina de Bioinformática y Biología Computacional

ISSN

eISSN

ISBN

Idioma

Inglés

Tipo del evento

Congreso

Clasificación temática

Resumen

Background: Quercetin (QUE) is a naturally occurring phytochemical with several proven biologicaleffects, including anticancer, antidiabetic, antiinflammatory, antioxidant, anti-Aging, antimicrobial,anti-Alzheimer’s, antiarthritic, cardiovascular, and wound-healing effects. QUE excerpts those benefits by directly targeting key enzymes involved in several biological pathways. QUE can inhibit kinases, proteases, glucosidases, endopeptidases, hydrolases, topoisomerases, among others. A question that arises is: What makes QUE so versatile as to be able to bind and block such a diversity of molecular targets?Results: To answer the above question we performed a structural survey with cheminformatic tools of QUE-enzyme complexes deposited on the Protein Data Bank (PDB). Alignment of all the QUE-enzyme complexes by the QUE atoms allowed the characterization of the environment of each QUE atom within the protein context. The extracted atomic environments were fed into cheminformatic and machine learning algorithms to expose the common pharmacophoric features that allow binding to all the different protein targets.Conclusions: Analysis of QUE atomic environments provided some clues about a common enzymeinhibition mechanism by this flavonoid. Atomic environments could be also used to predict novelprotein targets of QUE.

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