Literature DB >> 10450090

A fast and simple method to calculate protonation states in proteins.

L Sandberg1, O Edholm.   

Abstract

A simple model for electrostatic interactions in proteins, based on a distance and position dependent screening of the electrostatic potential, is presented. It is applied in conjunction with a Monte Carlo algorithm to calculate pK(alpha) values of ionizable groups in proteins. The purpose is to furnish a simple, fast, and sufficiently accurate model to be incorporated into molecular dynamic simulations. This will allow for dynamic protonation calculations and for coupling between changes in structure and protonation state during the simulation. The best method of calculating protonation states available today is based on solving the linearized Poisson-Boltzmann equation on a finite difference grid. However, this model consumes far too much computer time to be a practical alternative. Tests are reported for fixed structures on bacteriorhodopsin, lysozyme, myoglobin, and calbindin. The studies include comparisons with Poisson-Boltzmann calculations with dielectric constants 4 and 20 inside the protein, a model with uniform dielectric constant 80 and distance-dependent dielectric models. The accuracy is comparable to that of Poisson-Boltzmann calculations with dielectric constant 20, and it is considerably better than that with epsilon = 4. The time to calculate the protonation at one pH value is at least 100 times less than that of a Poisson-Boltzmann calculation. Proteins 1999;36:474-483. Copyright 1999 Wiley-Liss, Inc.

Entities:  

Mesh:

Substances:

Year:  1999        PMID: 10450090     DOI: 10.1002/(sici)1097-0134(19990901)36:4<474::aid-prot12>3.0.co;2-v

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


  14 in total

1.  Calculated pH-dependent population and protonation of carbon-monoxy-myoglobin conformers.

Authors:  B Rabenstein; E W Knapp
Journal:  Biophys J       Date:  2001-03       Impact factor: 4.033

2.  On the evaluation and optimization of protein X-ray structures for pKa calculations.

Authors:  Jens Erik Nielsen; J Andrew McCammon
Journal:  Protein Sci       Date:  2003-02       Impact factor: 6.725

3.  Calculating pKa values in enzyme active sites.

Authors:  Jens Erik Nielsen; J Andrew McCammon
Journal:  Protein Sci       Date:  2003-09       Impact factor: 6.725

4.  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

5.  Inferring ideal amino acid interaction forms from statistical protein contact potentials.

Authors:  Piotr Pokarowski; Andrzej Kloczkowski; Robert L Jernigan; Neha S Kothari; Maria Pokarowska; Andrzej Kolinski
Journal:  Proteins       Date:  2005-04-01

6.  Influence of nonlinear electrostatics on transfer energies between liquid phases: charge burial is far less expensive than Born model.

Authors:  Haipeng Gong; Glen Hocky; Karl F Freed
Journal:  Proc Natl Acad Sci U S A       Date:  2008-08-04       Impact factor: 11.205

7.  Electrostatic solvation energy for two oppositely charged ions in a solvated protein system: salt bridges can stabilize proteins.

Authors:  Haipeng Gong; Karl F Freed
Journal:  Biophys J       Date:  2010-02-03       Impact factor: 4.033

8.  Uncovering the determinants of a highly perturbed tyrosine pKa in the active site of ketosteroid isomerase.

Authors:  Jason P Schwans; Fanny Sunden; Ana Gonzalez; Yingssu Tsai; Daniel Herschlag
Journal:  Biochemistry       Date:  2013-10-23       Impact factor: 3.162

9.  MCCE2: improving protein pKa calculations with extensive side chain rotamer sampling.

Authors:  Yifan Song; Junjun Mao; M R Gunner
Journal:  J Comput Chem       Date:  2009-11-15       Impact factor: 3.376

10.  Reproducing basic pKa values for turkey ovomucoid third domain using a polarizable force field.

Authors:  Timothy H Click; George A Kaminski
Journal:  J Phys Chem B       Date:  2009-06-04       Impact factor: 2.991

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.