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Constant-pH Simulations with the Polarizable Atomic Multipole AMOEBA Force Field.
Thiel, Andrew C; Speranza, Matthew J; Jadhav, Sanika; Stevens, Lewis L; Unruh, Daniel K; Ren, Pengyu; Ponder, Jay W; Shen, Jana; Schnieders, Michael J.
Afiliação
  • Thiel AC; Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa 52242, United States.
  • Speranza MJ; Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa 52242, United States.
  • Jadhav S; Department of Pharmaceutical Sciences and Experimental Therapeutics, University of Iowa, Iowa City, Iowa 52242, United States.
  • Stevens LL; Department of Pharmaceutical Sciences and Experimental Therapeutics, University of Iowa, Iowa City, Iowa 52242, United States.
  • Unruh DK; Office of the Vice President for Research, University of Iowa, Iowa City, Iowa 52242, United States.
  • Ren P; Department of Biomedical Engineering, University of Texas, Austin, Texas 78712, United States.
  • Ponder JW; Department of Chemistry, Washington University in St. Louis, St. Louis, Missouri 63130, United States.
  • Shen J; Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy, Baltimore, Maryland 21201, United States.
  • Schnieders MJ; Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa 52242, United States.
J Chem Theory Comput ; 20(7): 2921-2933, 2024 Apr 09.
Article em En | MEDLINE | ID: mdl-38507252
ABSTRACT
Accurately predicting protein behavior across diverse pH environments remains a significant challenge in biomolecular simulations. Existing constant-pH molecular dynamics (CpHMD) algorithms are limited to fixed-charge force fields, hindering their application to biomolecular systems described by permanent atomic multipoles or induced dipoles. This work overcomes these limitations by introducing the first polarizable CpHMD algorithm in the context of the Atomic Multipole Optimized Energetics for Biomolecular Applications (AMOEBA) force field. Additionally, our implementation in the open-source Force Field X (FFX) software has the unique ability to handle titration state changes for crystalline systems including flexible support for all 230 space groups. The evaluation of constant-pH molecular dynamics (CpHMD) with the AMOEBA force field was performed on 11 crystalline peptide systems that span the titrating amino acids (Asp, Glu, His, Lys, and Cys). Titration states were correctly predicted for 15 out of the 16 amino acids present in the 11 systems, including for the coordination of Zn2+ by cysteines. The lone exception was for a HIS-ALA peptide where CpHMD predicted both neutral histidine tautomers to be equally populated, whereas the experimental model did not consider multiple conformers and diffraction data are unavailable for rerefinement. This work demonstrates the promise polarizable CpHMD simulations for pKa predictions, the study of biochemical mechanisms such as the catalytic triad of proteases, and for improved protein-ligand binding affinity accuracy in the context of pharmaceutical lead optimization.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Amoeba Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Amoeba Idioma: En Ano de publicação: 2024 Tipo de documento: Article