Literature DB >> 10048335

Simplified methods for pKa and acid pH-dependent stability estimation in proteins: removing dielectric and counterion boundaries.

J Warwicker1.   

Abstract

Much computational research aimed at understanding ionizable group interactions in proteins has focused on numerical solutions of the Poisson-Boltzmann (PB) equation, incorporating protein exclusion zones for solvent and counterions in a continuum model. Poor agreement with measured pKas and pH-dependent stabilities for a (protein, solvent) relative dielectric boundary of (4,80) has lead to the adoption of an intermediate (20,80) boundary. It is now shown that a simple Debye-Huckel (DH) calculation, removing both the low dielectric and counterion exclusion regions associated with protein, is equally effective in general pKa calculations. However, a broad-based discrepancy to measured pH-dependent stabilities is maintained in the absence of ionizable group interactions in the unfolded state. A simple model is introduced for these interactions, with a significantly improved match to experiment that suggests a potential utility in predicting and analyzing the acid pH-dependence of protein stability. The methods are applied to the relative pH-dependent stabilities of the pore-forming domains of colicins A and N. The results relate generally to the well-known preponderance of surface ionizable groups with solvent-mediated interactions. Although numerical PB solutions do not currently have a significant advantage for overall pKa estimations, development based on consideration of microscopic solvation energetics in tandem with the continuum model could combine the large deltapKas of a subset of ionizable groups with the overall robustness of the DH model.

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Year:  1999        PMID: 10048335      PMCID: PMC2144253          DOI: 10.1110/ps.8.2.418

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


  27 in total

1.  pKa's of ionizable groups in proteins: atomic detail from a continuum electrostatic model.

Authors:  D Bashford; M Karplus
Journal:  Biochemistry       Date:  1990-11-06       Impact factor: 3.162

2.  Protonation of interacting residues in a protein by a Monte Carlo method: application to lysozyme and the photosynthetic reaction center of Rhodobacter sphaeroides.

Authors:  P Beroza; D R Fredkin; M Y Okamura; G Feher
Journal:  Proc Natl Acad Sci U S A       Date:  1991-07-01       Impact factor: 11.205

3.  Continuum dielectric modelling of the protein-solvent system, and calculation of the long-range electrostatic field of the enzyme phosphoglycerate mutase.

Authors:  J Warwicker
Journal:  J Theor Biol       Date:  1986-07-21       Impact factor: 2.691

4.  The effect of protein relaxation on charge-charge interactions and dielectric constants of proteins.

Authors:  Y Y Sham; I Muegge; A Warshel
Journal:  Biophys J       Date:  1998-04       Impact factor: 4.033

5.  The Protein Data Bank: a computer-based archival file for macromolecular structures.

Authors:  F C Bernstein; T F Koetzle; G J Williams; E F Meyer; M D Brice; J R Rodgers; O Kennard; T Shimanouchi; M Tasumi
Journal:  J Mol Biol       Date:  1977-05-25       Impact factor: 5.469

6.  The dielectric constant of a folded protein.

Authors:  M K Gilson; B H Honig
Journal:  Biopolymers       Date:  1986-11       Impact factor: 2.505

7.  Structure of the membrane-pore-forming fragment of colicin A.

Authors:  M W Parker; F Pattus; A D Tucker; D Tsernoglou
Journal:  Nature       Date:  1989-01-05       Impact factor: 49.962

8.  Calculation of the electric potential in the active site cleft due to alpha-helix dipoles.

Authors:  J Warwicker; H C Watson
Journal:  J Mol Biol       Date:  1982-06-05       Impact factor: 5.469

9.  Focusing of electric fields in the active site of Cu-Zn superoxide dismutase: effects of ionic strength and amino-acid modification.

Authors:  I Klapper; R Hagstrom; R Fine; K Sharp; B Honig
Journal:  Proteins       Date:  1986-09

10.  Electrostatic calculations and model-building suggest that DNA bound to CAP is sharply bent.

Authors:  J Warwicker; B P Engelman; T A Steitz
Journal:  Proteins       Date:  1987
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  33 in total

1.  Increasing protein stability by altering long-range coulombic interactions.

Authors:  G R Grimsley; K L Shaw; L R Fee; R W Alston; B M Huyghues-Despointes; R L Thurlkill; J M Scholtz; C N Pace
Journal:  Protein Sci       Date:  1999-09       Impact factor: 6.725

2.  Charge-charge interactions influence the denatured state ensemble and contribute to protein stability.

Authors:  C N Pace; R W Alston; K L Shaw
Journal:  Protein Sci       Date:  2000-07       Impact factor: 6.725

3.  A critical investigation of the Tanford-Kirkwood scheme by means of Monte Carlo simulations.

Authors:  F L Da Silva; B Jönsson; R Penfold
Journal:  Protein Sci       Date:  2001-07       Impact factor: 6.725

4.  The effect of net charge on the solubility, activity, and stability of ribonuclease Sa.

Authors:  K L Shaw; G R Grimsley; G I Yakovlev; A A Makarov; C N Pace
Journal:  Protein Sci       Date:  2001-06       Impact factor: 6.725

5.  Site-specific contributions to the pH dependence of protein stability.

Authors:  Martin Tollinger; Karin A Crowhurst; Lewis E Kay; Julie D Forman-Kay
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-01       Impact factor: 11.205

6.  Modeling of denatured state for calculation of the electrostatic contribution to protein stability.

Authors:  Petras J Kundrotas; Andrey Karshikoff
Journal:  Protein Sci       Date:  2002-07       Impact factor: 6.725

7.  Prediction of pKa and redox properties in the thioredoxin superfamily.

Authors:  Efrosini Moutevelis; Jim Warwicker
Journal:  Protein Sci       Date:  2004-08-31       Impact factor: 6.725

8.  In silico investigation of pH-dependence of prolactin and human growth hormone binding to human prolactin receptor.

Authors:  Lin Wang; Shawn Witham; Zhe Zhang; Lin Li; Michael E Hodsdon; Emil Alexov
Journal:  Commun Comput Phys       Date:  2013-01       Impact factor: 3.246

Review 9.  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

10.  Assigning the protonation states of the key aspartates in β-Secretase using QM/MM X-ray structure refinement.

Authors:  Ning Yu; Seth A Hayik; Bing Wang; Ning Liao; Charles H Reynolds; Kenneth M Merz
Journal:  J Chem Theory Comput       Date:  2006       Impact factor: 6.006

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