Literature DB >> 18540669

pKa of residue 66 in Staphylococal nuclease. I. Insights from QM/MM simulations with conventional sampling.

Nilanjan Ghosh1, Qiang Cui.   

Abstract

A combined quantum mechanical/molecular mechanical (QM/MM) potential function is used in a thermodynamic integration approach to calculate the pK(a) of residue 66 in two mutants (V66E, V66D) of Staphylococal nuclease relative to solution. Despite the similarity in chemical nature and experimentally measured pK(a) of the two buried titritable residues, the behaviors of the two mutants and the computed pK(a) values vary greatly in the simulations. For Glu66, the side chain is consistently observed to spontaneously flip out from the protein interior during titration, and the overall protein structure remains stable throughout the simulations. The computed pK(a) shifts using conventional sampling techniques with multiple nanoseconds per lambda window (Set A and B) are generally close to the experimental value, therefore indicating that large-scale conformational rearrangements are not as important for V66E as suggested by the recent study of Warshel and co-worker. For Asp66, by contrast, flipping of the shorter side chain is not sufficient for getting adequate solvent stabilization of the ionized state. As a result, more complex behaviors such as partial unfolding of a nearby beta-sheet region is observed, and the computed pK(a) shift is substantially higher than the experimental value unless Asp66 is biased to adopt the similar configurations as Glu66 in the V66E simulations. Collectively, these studies suggest that the lack of electronic polarization is not expected to be the dominant source of error in microscopic pK(a) shift calculations, while the need of enhanced sampling is more compelling for predicting the pK(a) of buried residues. Furthermore, the comparison between V66E and V66D also highlights that the microscopic interpretation of similar apparent pK(a) values and effective "dielectric constants" of proteins can vary greatly in terms of the residues that make key contributions and the scale of structural/hydration response to titration, the latter of which is difficult to predict a priori. Perturbative analyses of interactions that contribute to the titration free energy point to mutants that can be used to verify the microscopic mechanisms of titration in V66E/D SNase proteins.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18540669      PMCID: PMC2562727          DOI: 10.1021/jp800168z

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  28 in total

Review 1.  What are the dielectric "constants" of proteins and how to validate electrostatic models?

Authors:  C N Schutz; A Warshel
Journal:  Proteins       Date:  2001-09-01

Review 2.  The barrier for proton transport in aquaporins as a challenge for electrostatic models: the role of protein relaxation in mutational calculations.

Authors:  Mitsunori Kato; Andrei V Pisliakov; Arieh Warshel
Journal:  Proteins       Date:  2006-09-01

3.  A critical evaluation of different QM/MM frontier treatments with SCC-DFTB as the QM method.

Authors:  P H König; M Hoffmann; Th Frauenheim; Q Cui
Journal:  J Phys Chem B       Date:  2005-05-12       Impact factor: 2.991

4.  Sampling enhancement for the quantum mechanical potential based molecular dynamics simulations: a general algorithm and its extension for free energy calculation on rugged energy surface.

Authors:  Hongzhi Li; Wei Yang
Journal:  J Chem Phys       Date:  2007-03-21       Impact factor: 3.488

Review 5.  Calculations of electrostatic interactions in biological systems and in solutions.

Authors:  A Warshel; S T Russell
Journal:  Q Rev Biophys       Date:  1984-08       Impact factor: 5.318

6.  Development of effective quantum mechanical/molecular mechanical (QM/MM) methods for complex biological processes.

Authors:  Demian Riccardi; Patricia Schaefer; Yang Yang; Haibo Yu; Nilanjan Ghosh; Xavier Prat-Resina; Peter König; Guohui Li; Dingguo Xu; Hua Guo; Marcus Elstner; Qiang Cui
Journal:  J Phys Chem B       Date:  2006-04-06       Impact factor: 2.991

7.  pKa calculations in solution and proteins with QM/MM free energy perturbation simulations: a quantitative test of QM/MM protocols.

Authors:  Demian Riccardi; Patricia Schaefer; Qiang Cui
Journal:  J Phys Chem B       Date:  2005-09-22       Impact factor: 2.991

8.  High apparent dielectric constants in the interior of a protein reflect water penetration.

Authors:  J J Dwyer; A G Gittis; D A Karp; E E Lattman; D S Spencer; W E Stites; B García-Moreno E
Journal:  Biophys J       Date:  2000-09       Impact factor: 4.033

9.  Experimental pK(a) values of buried residues: analysis with continuum methods and role of water penetration.

Authors:  Carolyn A Fitch; Daniel A Karp; Kelly K Lee; Wesley E Stites; Eaton E Lattman; Bertrand García-Moreno E
Journal:  Biophys J       Date:  2002-06       Impact factor: 4.033

10.  Proton binding to proteins: pK(a) calculations with explicit and implicit solvent models.

Authors:  Thomas Simonson; Jens Carlsson; David A Case
Journal:  J Am Chem Soc       Date:  2004-04-07       Impact factor: 15.419

View more
  28 in total

1.  Copper Oxidation/Reduction in Water and Protein: Studies with DFTB3/MM and VALBOND Molecular Dynamics Simulations.

Authors:  Haiyun Jin; Puja Goyal; Akshaya Kumar Das; Michael Gaus; Markus Meuwly; Qiang Cui
Journal:  J Phys Chem B       Date:  2015-12-17       Impact factor: 2.991

Review 2.  Progress in the prediction of pKa values in proteins.

Authors:  Emil Alexov; Ernest L Mehler; Nathan Baker; António M Baptista; Yong Huang; Francesca Milletti; Jens Erik Nielsen; Damien Farrell; Tommy Carstensen; Mats H M Olsson; Jana K Shen; Jim Warwicker; Sarah Williams; J Michael Word
Journal:  Proteins       Date:  2011-10-15

Review 3.  The pKa Cooperative: a collaborative effort to advance structure-based calculations of pKa values and electrostatic effects in proteins.

Authors:  Jens E Nielsen; M R Gunner; Bertrand E García-Moreno
Journal:  Proteins       Date:  2011-10-15

4.  pH replica-exchange method based on discrete protonation states.

Authors:  Satoru G Itoh; Ana Damjanović; Bernard R Brooks
Journal:  Proteins       Date:  2011-10-15

5.  Deciphering the role of glucosamine-6-phosphate in the riboswitch action of glmS ribozyme.

Authors:  Yao Xin; Donald Hamelberg
Journal:  RNA       Date:  2010-10-22       Impact factor: 4.942

6.  Random walk in orthogonal space to achieve efficient free-energy simulation of complex systems.

Authors:  Lianqing Zheng; Mengen Chen; Wei Yang
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-15       Impact factor: 11.205

7.  Structural origins of high apparent dielectric constants experienced by ionizable groups in the hydrophobic core of a protein.

Authors:  Michael S Chimenti; Carlos A Castañeda; Ananya Majumdar; Bertrand García-Moreno E
Journal:  J Mol Biol       Date:  2010-11-06       Impact factor: 5.469

Review 8.  Electrostatic Interactions in Protein Structure, Folding, Binding, and Condensation.

Authors:  Huan-Xiang Zhou; Xiaodong Pang
Journal:  Chem Rev       Date:  2018-01-10       Impact factor: 60.622

9.  Histamine (re)uptake by astrocytes: an experimental and computational study.

Authors:  Katja Perdan-Pirkmajer; Janez Mavri; Mojca Krzan
Journal:  J Mol Model       Date:  2009-12-15       Impact factor: 1.810

Review 10.  Progress in ab initio QM/MM free-energy simulations of electrostatic energies in proteins: accelerated QM/MM studies of pKa, redox reactions and solvation free energies.

Authors:  Shina C L Kamerlin; Maciej Haranczyk; Arieh Warshel
Journal:  J Phys Chem B       Date:  2009-02-05       Impact factor: 2.991

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.