Výsledky vyhledávání - "Youcef Bagdad"

Akademický článek

Machine Learning and Deep Learning Models for Predicting Noncovalent Inhibitors of AmpC β‑Lactamase

Autor: Youcef Bagdad, Marion Sisquellas, Michel Arthur, Maria A. Miteva

Publikováno v: ACS Omega, Vol 9, Iss 40, Pp 41334-41342 (2024)

Externí odkaz: https://doaj.org/article/35824a8215cd4781ad43e4591d1c2b40

Zobrazit plný text záznamu

Akademický článek

Machine learning and structure-based modeling for the prediction of UDP-glucuronosyltransferase inhibition

Autor: Balint Dudas, Youcef Bagdad, Milan Picard, David Perahia, Maria A. Miteva

Publikováno v: iScience, Vol 25, Iss 11, Pp 105290- (2022)

Summary: UDP-glucuronosyltransferases (UGTs) are responsible for 35% of the phase II drug metabolism. In this study, we focused on UGT1A1, which is a key UGT isoform. Strong inhibition of UGT1A1 may trigger adverse drug/herb-drug interactions, or res

Externí odkaz: https://doaj.org/article/b3dedb5de0b24146a94f7f346687dc57

Zobrazit plný text záznamu

Akademický článek

Capturing a Comprehensive Picture of Biological Events From Adverse Outcome Pathways in the Drug Exposome

Autor: Qier Wu, Youcef Bagdad, Olivier Taboureau, Karine Audouze

Publikováno v: Frontiers in Public Health, Vol 9 (2021)

Background: The chemical part of the exposome, including drugs, may explain the increase of health effects with outcomes such as infertility, allergies, metabolic disorders, which cannot be only explained by the genetic changes. To better understand

Externí odkaz: https://doaj.org/article/f2dcb29126c34a8094a30c710091ccc0

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání