Literature DB >> 24050246

Modelling cytochromes P450 binding modes to predict P450 inhibition, metabolic stability and isoform selectivity.

Emanuele Carosati.   

Abstract

The cytochromes P450 (P450) superfamily is a diverse group of enzymes involved in the metabolism of xenobiotics, whose orientations within the catalytic site can lead to different binding modes, namely productive, nonproductive, and inhibitory. This article collects the most recent approaches that individually study P450- ligand interactions, including a novel in silico technology, developed in the framework of the Human Cytochrome P450 Consortium initiative, that provides reliable in silico predictions of P450 inhibition, metabolic stability and isoform selectivity.

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Year:  2013        PMID: 24050246     DOI: 10.1016/j.ddtec.2012.09.007

Source DB:  PubMed          Journal:  Drug Discov Today Technol        ISSN: 1740-6749


  4 in total

Review 1.  Analytical and functional aspects of protein-ligand interactions: Beyond induced fit and conformational selection.

Authors:  Michelle Redhair; William M Atkins
Journal:  Arch Biochem Biophys       Date:  2021-10-26       Impact factor: 4.013

2.  Model-based estimates of the effects of efavirenz on bedaquiline pharmacokinetics and suggested dose adjustments for patients coinfected with HIV and tuberculosis.

Authors:  Elin M Svensson; Francesca Aweeka; Jeong-Gun Park; Florence Marzan; Kelly E Dooley; Mats O Karlsson
Journal:  Antimicrob Agents Chemother       Date:  2013-04-09       Impact factor: 5.191

Review 3.  Modeling of interactions between xenobiotics and cytochrome P450 (CYP) enzymes.

Authors:  Hannu Raunio; Mira Kuusisto; Risto O Juvonen; Olli T Pentikäinen
Journal:  Front Pharmacol       Date:  2015-06-12       Impact factor: 5.810

Review 4.  Regulation of Human Cytochrome P4501A1 (hCYP1A1): A Plausible Target for Chemoprevention?

Authors:  Rebeca Santes-Palacios; Diego Ornelas-Ayala; Noel Cabañas; Ana Marroquín-Pérez; Alexis Hernández-Magaña; Sitlali Del Rosario Olguín-Reyes; Rafael Camacho-Carranza; Jesús Javier Espinosa-Aguirre
Journal:  Biomed Res Int       Date:  2016-12-26       Impact factor: 3.411

  4 in total

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