Your browser doesn't support javascript.
loading
A Conserved Allosteric Site on Drug-Metabolizing CYPs: A Systematic Computational Assessment.
Fischer, André; Smiesko, Martin.
Afiliación
  • Fischer A; Computational Pharmacy, Departement of Pharmaceutical Sciences, University of Basel, Klingelbergstrasse 61, 4056 Basel, Switzerland.
  • Smiesko M; Computational Pharmacy, Departement of Pharmaceutical Sciences, University of Basel, Klingelbergstrasse 61, 4056 Basel, Switzerland.
Int J Mol Sci ; 22(24)2021 Dec 08.
Article en En | MEDLINE | ID: mdl-34948012
ABSTRACT
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 µs 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.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_medicamentos_vacinas_tecnologias Asunto principal: Biología Computacional / Sistema Enzimático del Citocromo P-450 / Bibliotecas de Moléculas Pequeñas / Mamíferos Límite: Animals / Humans Idioma: En Revista: Int J Mol Sci Año: 2021 Tipo del documento: Article País de afiliación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_medicamentos_vacinas_tecnologias Asunto principal: Biología Computacional / Sistema Enzimático del Citocromo P-450 / Bibliotecas de Moléculas Pequeñas / Mamíferos Límite: Animals / Humans Idioma: En Revista: Int J Mol Sci Año: 2021 Tipo del documento: Article País de afiliación: Suiza
...