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A Conserved Allosteric Site on Drug-Metabolizing CYPs: A Systematic Computational Assessment

Cytochrome P450 enzymes (CYPs) are the largest group of enzymes involved in human drug metabolism. Ligand tunnels connect their active site buried at the core of the membrane-anchored protein to the surrounding solvent environment. Recently, evidence of a superficial allosteric site, here denoted as...

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Detalles Bibliográficos
Autores principales: Fischer, André, Smieško, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8707821/
https://www.ncbi.nlm.nih.gov/pubmed/34948012
http://dx.doi.org/10.3390/ijms222413215
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author Fischer, André
Smieško, Martin
author_facet Fischer, André
Smieško, Martin
author_sort Fischer, André
collection PubMed
description Cytochrome P450 enzymes (CYPs) are the largest group of enzymes involved in human drug metabolism. Ligand tunnels connect their active site buried at the core of the membrane-anchored protein to the surrounding solvent environment. Recently, evidence of a superficial allosteric site, here denoted as hotspot 1 (H1), involved in the regulation of ligand access in a soluble prokaryotic CYP emerged. Here, we applied multi-scale computational modeling techniques to study the conservation and functionality of this allosteric site in the nine most relevant mammalian CYPs responsible for approximately 70% of drug metabolism. In total, we systematically analyzed over 44 [Formula: see text] s of trajectories from conventional MD, cosolvent MD, and metadynamics simulations. Our bioinformatic analysis and simulations with organic probe molecules revealed the site to be well conserved in the CYP2 family with the exception of CYP2E1. In the presence of a ligand bound to the H1 site, we could observe an enlargement of a ligand tunnel in several members of the CYP2 family. Further, we could detect the facilitation of ligand translocation by H1 interactions with statistical significance in CYP2C8 and CYP2D6, even though all other enzymes except for CYP2C19, CYP2E1, and CYP3A4 presented a similar trend. As the detailed comprehension of ligand access and egress phenomena remains one of the most relevant challenges in the field, this work contributes to its elucidation and ultimately helps in estimating the selectivity of metabolic transformations using computational techniques.
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spelling pubmed-87078212021-12-25 A Conserved Allosteric Site on Drug-Metabolizing CYPs: A Systematic Computational Assessment Fischer, André Smieško, Martin Int J Mol Sci Article Cytochrome P450 enzymes (CYPs) are the largest group of enzymes involved in human drug metabolism. Ligand tunnels connect their active site buried at the core of the membrane-anchored protein to the surrounding solvent environment. Recently, evidence of a superficial allosteric site, here denoted as hotspot 1 (H1), involved in the regulation of ligand access in a soluble prokaryotic CYP emerged. Here, we applied multi-scale computational modeling techniques to study the conservation and functionality of this allosteric site in the nine most relevant mammalian CYPs responsible for approximately 70% of drug metabolism. In total, we systematically analyzed over 44 [Formula: see text] s of trajectories from conventional MD, cosolvent MD, and metadynamics simulations. Our bioinformatic analysis and simulations with organic probe molecules revealed the site to be well conserved in the CYP2 family with the exception of CYP2E1. In the presence of a ligand bound to the H1 site, we could observe an enlargement of a ligand tunnel in several members of the CYP2 family. Further, we could detect the facilitation of ligand translocation by H1 interactions with statistical significance in CYP2C8 and CYP2D6, even though all other enzymes except for CYP2C19, CYP2E1, and CYP3A4 presented a similar trend. As the detailed comprehension of ligand access and egress phenomena remains one of the most relevant challenges in the field, this work contributes to its elucidation and ultimately helps in estimating the selectivity of metabolic transformations using computational techniques. MDPI 2021-12-08 /pmc/articles/PMC8707821/ /pubmed/34948012 http://dx.doi.org/10.3390/ijms222413215 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fischer, André
Smieško, Martin
A Conserved Allosteric Site on Drug-Metabolizing CYPs: A Systematic Computational Assessment
title A Conserved Allosteric Site on Drug-Metabolizing CYPs: A Systematic Computational Assessment
title_full A Conserved Allosteric Site on Drug-Metabolizing CYPs: A Systematic Computational Assessment
title_fullStr A Conserved Allosteric Site on Drug-Metabolizing CYPs: A Systematic Computational Assessment
title_full_unstemmed A Conserved Allosteric Site on Drug-Metabolizing CYPs: A Systematic Computational Assessment
title_short A Conserved Allosteric Site on Drug-Metabolizing CYPs: A Systematic Computational Assessment
title_sort conserved allosteric site on drug-metabolizing cyps: a systematic computational assessment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8707821/
https://www.ncbi.nlm.nih.gov/pubmed/34948012
http://dx.doi.org/10.3390/ijms222413215
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