Literature DB >> 14686930

Numerical calculations of the pH of maximal protein stability. The effect of the sequence composition and three-dimensional structure.

Emil Alexov1.   

Abstract

A large number of proteins, found experimentally to have different optimum pH of maximal stability, were studied to reveal the basic principles of their preference for a particular pH. The pH-dependent free energy of folding was modeled numerically as a function of pH as well as the net charge of the protein. The optimum pH was determined in the numerical calculations as the pH of the minimum free energy of folding. The experimental data for the pH of maximal stability (experimental optimum pH) was reproducible (rmsd = 0.73). It was shown that the optimum pH results from two factors - amino acid composition and the organization of the titratable groups with the 3D structure. It was demonstrated that the optimum pH and isoelectric point could be quite different. In many cases, the optimum pH was found at a pH corresponding to a large net charge of the protein. At the same time, there was a tendency for proteins having acidic optimum pHs to have a base/acid ratio smaller than one and vice versa. The correlation between the optimum pH and base/acid ratio is significant if only buried groups are taken into account. It was shown that a protein that provides a favorable electrostatic environment for acids and disfavors the bases tends to have high optimum pH and vice versa.

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Year:  2004        PMID: 14686930     DOI: 10.1046/j.1432-1033.2003.03917.x

Source DB:  PubMed          Journal:  Eur J Biochem        ISSN: 0014-2956


  26 in total

1.  Predicting folding free energy changes upon single point mutations.

Authors:  Zhe Zhang; Lin Wang; Yang Gao; Jie Zhang; Maxim Zhenirovskyy; Emil Alexov
Journal:  Bioinformatics       Date:  2012-01-11       Impact factor: 6.937

2.  DelPhi web server v2: incorporating atomic-style geometrical figures into the computational protocol.

Authors:  Nicholas Smith; Shawn Witham; Subhra Sarkar; Jie Zhang; Lin Li; Chuan Li; Emil Alexov
Journal:  Bioinformatics       Date:  2012-04-23       Impact factor: 6.937

3.  Calculating pH-dependent free energy of proteins by using Monte Carlo protonation probabilities of ionizable residues.

Authors:  Qiang Huang; Andreas Herrmann
Journal:  Protein Cell       Date:  2012-03-31       Impact factor: 14.870

4.  On the pH-optimum of activity and stability of proteins.

Authors:  Kemper Talley; Emil Alexov
Journal:  Proteins       Date:  2010-09

5.  Using DelPhi capabilities to mimic protein's conformational reorganization with amino acid specific dielectric constants.

Authors:  Lin Wang; Zhe Zhang; Walter Rocchia; Emil Alexov
Journal:  Commun Comput Phys       Date:  2013-01       Impact factor: 3.246

6.  DelPhi Web Server: A comprehensive online suite for electrostatic calculations of biological macromolecules and their complexes.

Authors:  Subhra Sarkar; Shawn Witham; Jie Zhang; Maxim Zhenirovskyy; Walter Rocchia; Emil Alexov
Journal:  Commun Comput Phys       Date:  2013-01       Impact factor: 3.246

7.  Electrostatic properties of protein-protein complexes.

Authors:  Petras J Kundrotas; Emil Alexov
Journal:  Biophys J       Date:  2006-06-16       Impact factor: 4.033

8.  In silico modeling of pH-optimum of protein-protein binding.

Authors:  Rooplekha C Mitra; Zhe Zhang; Emil Alexov
Journal:  Proteins       Date:  2010-12-22

9.  Electrostatic control of the overall shape of calmodulin: numerical calculations.

Authors:  A Isvoran; C T Craescu; E Alexov
Journal:  Eur Biophys J       Date:  2007-02-07       Impact factor: 1.733

10.  Molecular cloning and homology modelling of a subtilisin-like serine protease from the marine fungus, Engyodontium album BTMFS10.

Authors:  C Jasmin; Sreeja Chellappan; Rajeev K Sukumaran; K K Elyas; Sarita G Bhat; M Chandrasekaran
Journal:  World J Microbiol Biotechnol       Date:  2010-01-10       Impact factor: 3.312

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