Literature DB >> 23444044

Probing the role of interfacial waters in protein-DNA recognition using a hybrid implicit/explicit solvation model.

Shen Li1, Philip Bradley.   

Abstract

When proteins bind to their DNA target sites, ordered water molecules are often present at the protein-DNA interface bridging protein and DNA through hydrogen bonds. What is the role of these ordered interfacial waters? Are they important determinants of the specificity of DNA sequence recognition, or do they act in binding in a primarily nonspecific manner, by improving packing of the interface, shielding unfavorable electrostatic interactions, and solvating unsatisfied polar groups that are inaccessible to bulk solvent? When modeling details of structure and binding preferences, can fully implicit solvent models be fruitfully applied to protein-DNA interfaces, or must the individualistic properties of these interfacial waters be accounted for? To address these questions, we have developed a hybrid implicit/explicit solvation model that specifically accounts for the locations and orientations of small numbers of DNA-bound water molecules, while treating the majority of the solvent implicitly. Comparing the performance of this model with that of its fully implicit counterpart, we find that explicit treatment of interfacial waters results in a modest but significant improvement in protein side-chain placement and DNA sequence recovery. Base-by-base comparison of the performance of the two models highlights DNA sequence positions whose recognition may be dependent on interfacial water. Our study offers large-scale statistical evidence for the role of ordered water for protein-DNA recognition, together with detailed examination of several well-characterized systems. In addition, our approach provides a template for modeling explicit water molecules at interfaces that should be extensible to other systems.
Copyright © 2013 Wiley Periodicals, Inc., a Wiley company.

Entities:  

Keywords:  binding specificity; implicit solvent models; protein-DNA interactions; structured water

Mesh:

Substances:

Year:  2013        PMID: 23444044      PMCID: PMC3904374          DOI: 10.1002/prot.24272

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


  27 in total

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Authors:  T Lazaridis; M Karplus
Journal:  Proteins       Date:  1999-05-01

2.  Testing water-mediated DNA recognition by the Hin recombinase.

Authors:  Thang Kien Chiu; Catherine Sohn; Richard E Dickerson; Reid C Johnson
Journal:  EMBO J       Date:  2002-02-15       Impact factor: 11.598

3.  PISCES: a protein sequence culling server.

Authors:  Guoli Wang; Roland L Dunbrack
Journal:  Bioinformatics       Date:  2003-08-12       Impact factor: 6.937

4.  A simple physical model for the prediction and design of protein-DNA interactions.

Authors:  James J Havranek; Carlos M Duarte; David Baker
Journal:  J Mol Biol       Date:  2004-11-12       Impact factor: 5.469

Review 5.  The role of water in protein-DNA interactions.

Authors:  J W Schwabe
Journal:  Curr Opin Struct Biol       Date:  1997-02       Impact factor: 6.809

6.  Do water molecules mediate protein-DNA recognition?

Authors:  C K Reddy; A Das; B Jayaram
Journal:  J Mol Biol       Date:  2001-11-30       Impact factor: 5.469

7.  A "solvated rotamer" approach to modeling water-mediated hydrogen bonds at protein-protein interfaces.

Authors:  Lin Jiang; Brian Kuhlman; Tanja Kortemme; David Baker
Journal:  Proteins       Date:  2005-03-01

8.  Heterogeneity in molecular recognition by restriction endonucleases: osmotic and hydrostatic pressure effects on BamHI, Pvu II, and EcoRV specificity.

Authors:  C R Robinson; S G Sligar
Journal:  Proc Natl Acad Sci U S A       Date:  1995-04-11       Impact factor: 11.205

9.  On the contribution of water-mediated interactions to protein-complex stability.

Authors:  Dana Reichmann; Yael Phillip; Asaf Carmi; Gideon Schreiber
Journal:  Biochemistry       Date:  2007-12-28       Impact factor: 3.162

10.  Extensive protein and DNA backbone sampling improves structure-based specificity prediction for C2H2 zinc fingers.

Authors:  Chen Yanover; Philip Bradley
Journal:  Nucleic Acids Res       Date:  2011-02-22       Impact factor: 16.971

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  7 in total

Review 1.  Structure-based modeling of protein: DNA specificity.

Authors:  Adam P Joyce; Chi Zhang; Philip Bradley; James J Havranek
Journal:  Brief Funct Genomics       Date:  2014-11-19       Impact factor: 4.241

2.  Enhancing Structure Prediction and Design of Soluble and Membrane Proteins with Explicit Solvent-Protein Interactions.

Authors:  Jason K Lai; Joaquin Ambia; Yumeng Wang; Patrick Barth
Journal:  Structure       Date:  2017-09-28       Impact factor: 5.006

3.  Alternative computational protocols for supercharging protein surfaces for reversible unfolding and retention of stability.

Authors:  Bryan S Der; Christien Kluwe; Aleksandr E Miklos; Ron Jacak; Sergey Lyskov; Jeffrey J Gray; George Georgiou; Andrew D Ellington; Brian Kuhlman
Journal:  PLoS One       Date:  2013-05-31       Impact factor: 3.240

4.  Molecular dynamics simulation of the opposite-base preference and interactions in the active site of formamidopyrimidine-DNA glycosylase.

Authors:  Alexander V Popov; Anton V Endutkin; Yuri N Vorobjev; Dmitry O Zharkov
Journal:  BMC Struct Biol       Date:  2017-05-08

5.  Toward the correction of effective electrostatic forces in explicit-solvent molecular dynamics simulations: restraints on solvent-generated electrostatic potential and solvent polarization.

Authors:  Maria M Reif; Chris Oostenbrink
Journal:  Theor Chem Acc       Date:  2015-01-10       Impact factor: 1.702

Review 6.  Role of Computational Methods in Going beyond X-ray Crystallography to Explore Protein Structure and Dynamics.

Authors:  Ashutosh Srivastava; Tetsuro Nagai; Arpita Srivastava; Osamu Miyashita; Florence Tama
Journal:  Int J Mol Sci       Date:  2018-10-30       Impact factor: 5.923

7.  Efficient consideration of coordinated water molecules improves computational protein-protein and protein-ligand docking discrimination.

Authors:  Ryan E Pavlovicz; Hahnbeom Park; Frank DiMaio
Journal:  PLoS Comput Biol       Date:  2020-09-21       Impact factor: 4.475

  7 in total

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