Literature DB >> 28132613

Coupled molecular dynamics and continuum electrostatic method to compute the ionization pKa's of proteins as a function of pH. Test on a large set of proteins.

Yury N Vorobjev1,2,3, Harold A Scheraga3, Jorge A Vila4.   

Abstract

A computational method, to predict the pKa values of the ionizable residues Asp, Glu, His, Tyr, and Lys of proteins, is presented here. Calculation of the electrostatic free-energy of the proteins is based on an efficient version of a continuum dielectric electrostatic model. The conformational flexibility of the protein is taken into account by carrying out molecular dynamics simulations of 10 ns in implicit water. The accuracy of the proposed method of calculation of pKa values is estimated from a test set of experimental pKa data for 297 ionizable residues from 34 proteins. The pKa-prediction test shows that, on average, 57, 86, and 95% of all predictions have an error lower than 0.5, 1.0, and 1.5 pKa units, respectively. This work contributes to our general understanding of the importance of protein flexibility for an accurate computation of pKa, providing critical insight about the significance of the multiple neutral states of acid and histidine residues for pKa-prediction, and may spur significant progress in our effort to develop a fast and accurate electrostatic-based method for pKa-predictions of proteins as a function of pH.

Entities:  

Keywords:  continuum dielectric model; molecular dynamics; pKa-predictions; protein ionization

Mesh:

Substances:

Year:  2017        PMID: 28132613      PMCID: PMC6191177          DOI: 10.1080/07391102.2017.1288169

Source DB:  PubMed          Journal:  J Biomol Struct Dyn        ISSN: 0739-1102


  35 in total

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Journal:  Biochemistry       Date:  1990-11-06       Impact factor: 3.162

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Journal:  Proteins       Date:  2011-10-15

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Journal:  Proteins       Date:  2011-10-15

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Journal:  J Mol Biol       Date:  1997-07-18       Impact factor: 5.469

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Journal:  J Am Chem Soc       Date:  1973-01-24       Impact factor: 15.419

7.  On the calculation of pKas in proteins.

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Journal:  Proteins       Date:  1993-03

8.  Electrostatic calculations of side-chain pK(a) values in myoglobin and comparison with NMR data for histidines.

Authors:  D Bashford; D A Case; C Dalvit; L Tennant; P E Wright
Journal:  Biochemistry       Date:  1993-08-10       Impact factor: 3.162

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Authors:  Matthew N Davies; Christopher P Toseland; David S Moss; Darren R Flower
Journal:  BMC Biochem       Date:  2006-06-02       Impact factor: 4.059

10.  H++ 3.0: automating pK prediction and the preparation of biomolecular structures for atomistic molecular modeling and simulations.

Authors:  Ramu Anandakrishnan; Boris Aguilar; Alexey V Onufriev
Journal:  Nucleic Acids Res       Date:  2012-05-08       Impact factor: 16.971

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  2 in total

1.  Electrostatic Environment of Proteorhodopsin Affects the pKa of Its Buried Primary Proton Acceptor.

Authors:  Chung-Ta Han; Jichao Song; Tristan Chan; Christine Pruett; Songi Han
Journal:  Biophys J       Date:  2020-03-07       Impact factor: 4.033

2.  Outline of an experimental design aimed to detect a protein A mirror image in solution.

Authors:  Osvaldo A Martin; Yury Vorobjev; Harold A Scheraga; Jorge A Vila
Journal:  PeerJ Phys Chem       Date:  2019-10-15
  2 in total

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