Literature DB >> 15103631

The determinants of carboxyl pKa values in turkey ovomucoid third domain.

Hui Li1, Andrew D Robertson, Jan H Jensen.   

Abstract

A computational methodology for protein pK(a) predictions, based on ab initio quantum mechanical treatment of part of the protein and linear Poisson-Boltzmann equation treatment of the bulk solvent, is presented. The method is used to predict and interpret the pK(a) values of the five carboxyl residues (Asp7, Glu10, Glu19, Asp27, and Glu43) in the serine protease inhibitor turkey ovomucoid third domain. All the predicted pK(a) values are within 0.5 pH units of experiment, with a root-mean-square deviation of 0.31 pH units. We show that the decreased pK(a) values observed for some of the residues are primarily due to hydrogen bonds to the carboxyl oxygens. Hydrogen bonds involving amide protons are shown to be particularly important, and the effect of hydrogen bonding is shown to be nonadditive. Hydrophobic effects are also shown to be important in raising the pK(a). Interactions with charged residues are shown to have relatively little effect on the carboxyl pK(a) values in this protein, in general agreement with experiment. Copyright 2004 Wiley-Liss, Inc.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15103631     DOI: 10.1002/prot.20032

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  27 in total

1.  Differential geometry based solvation model II: Lagrangian formulation.

Authors:  Zhan Chen; Nathan A Baker; G W Wei
Journal:  J Math Biol       Date:  2011-01-30       Impact factor: 2.259

2.  pH dependence of amide chemical shifts in natively disordered polypeptides detects medium-range interactions with ionizable residues.

Authors:  Mario Pujato; Clay Bracken; Romina Mancusso; Marcela Cataldi; María Luisa Tasayco
Journal:  Biophys J       Date:  2005-08-19       Impact factor: 4.033

Review 3.  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

4.  Chemically accurate protein structures: validation of protein NMR structures by comparison of measured and predicted pKa values.

Authors:  N Powers; Jan H Jensen
Journal:  J Biomol NMR       Date:  2006-06-03       Impact factor: 2.835

Review 5.  Protein-solvent interactions.

Authors:  Ninad Prabhu; Kim Sharp
Journal:  Chem Rev       Date:  2006-05       Impact factor: 60.622

6.  Computational methods for biomolecular electrostatics.

Authors:  Feng Dong; Brett Olsen; Nathan A Baker
Journal:  Methods Cell Biol       Date:  2008       Impact factor: 1.441

7.  Carboxyl pK(a) values, ion pairs, hydrogen bonding, and the pH-dependence of folding the hyperthermophile proteins Sac7d and Sso7d.

Authors:  Andrew T Clark; Kelley Smith; Ranjith Muhandiram; Stephen P Edmondson; John W Shriver
Journal:  J Mol Biol       Date:  2007-07-10       Impact factor: 5.469

Review 8.  Biomolecular electrostatics and solvation: a computational perspective.

Authors:  Pengyu Ren; Jaehun Chun; Dennis G Thomas; Michael J Schnieders; Marcelo Marucho; Jiajing Zhang; Nathan A Baker
Journal:  Q Rev Biophys       Date:  2012-11       Impact factor: 5.318

9.  Elevated ΔpH restores rapidly reversible photoprotective energy dissipation in Arabidopsis chloroplasts deficient in lutein and xanthophyll cycle activity.

Authors:  Matthew P Johnson; Ahmad Zia; Alexander V Ruban
Journal:  Planta       Date:  2011-08-25       Impact factor: 4.116

10.  Designing inhibitors of M2 proton channel against H1N1 swine influenza virus.

Authors:  Qi-Shi Du; Ri-Bo Huang; Shu-Qing Wang; Kuo-Chen Chou
Journal:  PLoS One       Date:  2010-02-23       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.