Literature DB >> 15388865

Improved pKa calculations through flexibility based sampling of a water-dominated interaction scheme.

Jim Warwicker1.   

Abstract

Ionizable groups play critical roles in biological processes. Computation of pK(a)s is complicated by model approximations and multiple conformations. Calculated and experimental pK(a)s are compared for relatively inflexible active-site side chains, to develop an empirical model for hydration entropy changes upon charge burial. The modification is found to be generally small, but large for cysteine, consistent with small molecule ionization data and with partial charge distributions in ionized and neutral forms. The hydration model predicts significant entropic contributions for ionizable residue burial, demonstrated for components in the pyruvate dehydrogenase complex. Conformational relaxation in a pH-titration is estimated with a mean-field assessment of maximal side chain solvent accessibility. All ionizable residues interact within a low protein dielectric finite difference (FD) scheme, and more flexible groups also access water-mediated Debye-Hückel (DH) interactions. The DH method tends to match overall pH-dependent stability, while FD can be more accurate for active-site groups. Tolerance for side chain rotamer packing is varied, defining access to DH interactions, and the best fit with experimental pK(a)s obtained. The new (FD/DH) method provides a fast computational framework for making the distinction between buried and solvent-accessible groups that has been qualitatively apparent from previous work, and pK(a) calculations are significantly improved for a mixed set of ionizable residues. Its effectiveness is also demonstrated with computation of the pH-dependence of electrostatic energy, recovering favorable contributions to folded state stability and, in relation to structural genomics, with substantial improvement (reduction of false positives) in active-site identification by electrostatic strain.

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Year:  2004        PMID: 15388865      PMCID: PMC2286538          DOI: 10.1110/ps.04785604

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  65 in total

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Journal:  J Mol Biol       Date:  1982-06-05       Impact factor: 5.469

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Journal:  J Biochem       Date:  1980-04       Impact factor: 3.387

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Journal:  Nature       Date:  1981-10-29       Impact factor: 49.962

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Authors:  A Warshel
Journal:  Biochemistry       Date:  1981-05-26       Impact factor: 3.162

9.  Improving the accuracy of protein pKa calculations: conformational averaging versus the average structure.

Authors:  H W van Vlijmen; M Schaefer; M Karplus
Journal:  Proteins       Date:  1998-11-01

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Journal:  Biochemistry       Date:  1980-02-19       Impact factor: 3.162

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  44 in total

1.  Continuum electrostatic calculations of the pKa of ionizable residues in an ion channel: dynamic vs. static input structure.

Authors:  M Aguilella-Arzo; V M Aguilella
Journal:  Eur Phys J E Soft Matter       Date:  2010-04-25       Impact factor: 1.890

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

3.  pK values of the ionizable groups of proteins.

Authors:  Richard L Thurlkill; Gerald R Grimsley; J Martin Scholtz; C Nick Pace
Journal:  Protein Sci       Date:  2006-04-05       Impact factor: 6.725

4.  The CXXC motif at the N terminus of an alpha-helical peptide.

Authors:  Teuku M Iqbalsyah; Efrosini Moutevelis; Jim Warwicker; Neil Errington; Andrew J Doig
Journal:  Protein Sci       Date:  2006-08       Impact factor: 6.725

5.  Redesigning protein pKa values.

Authors:  Barbara Mary Tynan-Connolly; Jens Erik Nielsen
Journal:  Protein Sci       Date:  2006-12-22       Impact factor: 6.725

6.  Accurate, conformation-dependent predictions of solvent effects on protein ionization constants.

Authors:  P Barth; T Alber; P B Harbury
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-14       Impact factor: 11.205

7.  Solvent reaction field potential inside an uncharged globular protein: a bridge between implicit and explicit solvent models?

Authors:  David S Cerutti; Nathan A Baker; J Andrew McCammon
Journal:  J Chem Phys       Date:  2007-10-21       Impact factor: 3.488

8.  A fast and accurate computational approach to protein ionization.

Authors:  Velin Z Spassov; Lisa Yan
Journal:  Protein Sci       Date:  2008-08-19       Impact factor: 6.725

9.  Pore-opening mechanism of the nicotinic acetylcholine receptor evinced by proton transfer.

Authors:  Gisela D Cymes; Claudio Grosman
Journal:  Nat Struct Mol Biol       Date:  2008-03-30       Impact factor: 15.369

10.  A Continuum Poisson-Boltzmann Model for Membrane Channel Proteins.

Authors:  Li Xiao; Jianxiong Diao; D'Artagnan Greene; Junmei Wang; Ray Luo
Journal:  J Chem Theory Comput       Date:  2017-06-14       Impact factor: 6.006

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