In silico concurrent multisite pH titration in proteins

Copyright © 2014 Wiley Periodicals, Inc.

Bibliographische Detailangaben
Veröffentlicht in:Journal of computational chemistry. - 1984. - 35(2014), 20 vom: 30. Juli, Seite 1491-8
1. Verfasser: Hu, Hao (VerfasserIn)
Weitere Verfasser: Shen, Lin
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2014
Zugriff auf das übergeordnete Werk:Journal of computational chemistry
Schlagworte:Journal Article Research Support, Non-U.S. Gov't generalized ensemble grand canonical ensemble mean field multistate free energy perturbation Protons Aspartic Acid 30KYC7MIAI Glutamic Acid mehr... 3KX376GY7L Trypsin Inhibitor, Kazal Pancreatic 50936-63-5
Beschreibung
Zusammenfassung:Copyright © 2014 Wiley Periodicals, Inc.
The concurrent proton binding at multiple sites in macromolecules such as proteins and nucleic acids is an important yet challenging problem in biochemistry. We develop an efficient generalized Hamiltonian approach to attack this issue. Based on the previously developed generalized-ensemble methods, an effective potential energy is constructed which combines the contributions of all (relevant) protonation states of the molecule. The effective potential preserves important phase regions of all states and, thus, allows efficient sampling of these regions in one simulation. The need for intermediate states in alchemical free energy simulations is greatly reduced. Free energy differences between different protonation states can be determined accurately and enable one to construct the grand canonical partition function. Therefore, the complicated concurrent multisite proton titration process of protein molecules can be satisfactorily simulated. Application of this method to the simulation of the pKa of Glu49, Asp50, and C-terminus of bovine pancreatic trypsin inhibitor shows reasonably good agreement with published experimental work. This method provides an unprecedented vivid picture of how different protonation states change their relative population upon pH titration. We believe that the method will be very useful in deciphering the molecular mechanism of pH-dependent biomolecular processes in terms of a detailed atomistic description
Beschreibung:Date Completed 11.05.2015
Date Revised 25.06.2014
published: Print-Electronic
Citation Status MEDLINE
ISSN:1096-987X
DOI:10.1002/jcc.23645