Importancia de la predicción del perfil ADMET en bases de datos de productos naturales Importance of ADMET profile prediction in natural product databases
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oct 15, 2026
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https://doi.org/10.30878/ces.v33n0a84
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Alejandro Gómez-García
http://orcid.org/0000-0003-4444-8221
Jose L. Medina-Franco
http://orcid.org/0000-0003-4940-1107
http://orcid.org/0000-0003-4444-8221
Jose L. Medina-Franco
http://orcid.org/0000-0003-4940-1107
Resumen
Los productos naturales (PNs) son la mayor fuente de moléculas bioactivas con propiedades terapéuticas. Actualmente, existen bases de datos moleculares que reúnen miles de PNs, a partir de las cuales es posible seleccionar aquellos con el mejor perfil de absorción, distribución, metabolismo, excreción y toxicidad (ADMET), lo que incrementa en gran medida sus probabilidades de éxito en fases clínicas. En este artículo se discute la relevancia de predecir el perfil ADMET en etapas tempranas del desarrollo de fármacos, especialmente a partir de bases de datos de PNs. Se presentan diecinueve servidores web de acceso libre que permiten llevar a cabo estas predicciones y se exponen algunos de los parámetros ADMET más relevantes que pueden evaluarse mediante dichas herramientas.
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GÓMEZ-GARCÍA, Alejandro; MEDINA-FRANCO, Jose L..
Importancia de la predicción del perfil ADMET en bases de datos de productos naturales.
CIENCIA ergo-sum, [S.l.], v. 33, oct. 2026.
ISSN 2395-8782.
Disponible en: <https://cienciaergosum.uaemex.mx/article/view/26683>. Fecha de acceso: 15 oct. 2026
doi: https://doi.org/10.30878/ces.v33n0a84.
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