Literature DB >> 14634848

Structure-based method for analyzing protein-protein interfaces.

Ying Gao1, Renxiao Wang, Luhua Lai.   

Abstract

Hydrogen bond, hydrophobic and vdW interactions are the three major non-covalent interactions at protein-protein interfaces. We have developed a method that uses only these properties to describe interactions between proteins, which can qualitatively estimate the individual contribution of each interfacial residue to the binding and gives the results in a graphic display way. This method has been applied to analyze alanine mutation data at protein-protein interfaces. A dataset containing 13 protein-protein complexes with 250 alanine mutations of interfacial residues has been tested. For the 75 hot-spot residues (deltadelta G > or = 1.5 kcal mol(-1)), 66 can be predicted correctly with a success rate of 88%. In order to test the tolerance of this method to conformational changes upon binding, we utilize a set of 26 complexes with one or both of their components available in the unbound form. The difference of key residues exported by the program is 11% between the results using complexed proteins and those from unbound ones. As this method gives the characteristics of the binding partner for a particular protein, in-depth studies on protein-protein recognition can be carried out. Furthermore, this method can be used to compare the difference between protein-protein interactions and look for correlated mutation.

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Year:  2003        PMID: 14634848     DOI: 10.1007/s00894-003-0168-3

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  37 in total

1.  Prediction of protein interaction sites from sequence profile and residue neighbor list.

Authors:  H X Zhou; Y Shan
Journal:  Proteins       Date:  2001-08-15

2.  Monte Carlo simulations of the peptide recognition at the consensus binding site of the constant fragment of human immunoglobulin G: the energy landscape analysis of a hot spot at the intermolecular interface.

Authors:  Gennady M Verkhivker; Djamal Bouzida; Daniel K Gehlhaar; Paul A Rejto; Stephan T Freer; Peter W Rose
Journal:  Proteins       Date:  2002-08-15

3.  Rate4Site: an algorithmic tool for the identification of functional regions in proteins by surface mapping of evolutionary determinants within their homologues.

Authors:  Tal Pupko; Rachel E Bell; Itay Mayrose; Fabian Glaser; Nir Ben-Tal
Journal:  Bioinformatics       Date:  2002       Impact factor: 6.937

4.  InterPreTS: protein interaction prediction through tertiary structure.

Authors:  Patrick Aloy; Robert B Russell
Journal:  Bioinformatics       Date:  2003-01       Impact factor: 6.937

5.  Analysis of protein-protein interactions and the effects of amino acid mutations on their energetics. The importance of water molecules in the binding epitope.

Authors:  D G Covell; A Wallqvist
Journal:  J Mol Biol       Date:  1997-06-06       Impact factor: 5.469

6.  Correlated mutations contain information about protein-protein interaction.

Authors:  F Pazos; M Helmer-Citterich; G Ausiello; A Valencia
Journal:  J Mol Biol       Date:  1997-08-29       Impact factor: 5.469

7.  A mutational analysis of binding interactions in an antigen-antibody protein-protein complex.

Authors:  W Dall'Acqua; E R Goldman; W Lin; C Teng; D Tsuchiya; H Li; X Ysern; B C Braden; Y Li; S J Smith-Gill; R A Mariuzza
Journal:  Biochemistry       Date:  1998-06-02       Impact factor: 3.162

8.  Approximate matching of regular expressions.

Authors:  E W Myers; W Miller
Journal:  Bull Math Biol       Date:  1989       Impact factor: 1.758

9.  Energetics of protein-protein interactions: analysis of the barnase-barstar interface by single mutations and double mutant cycles.

Authors:  G Schreiber; A R Fersht
Journal:  J Mol Biol       Date:  1995-04-28       Impact factor: 5.469

Review 10.  Principles of protein-protein interactions.

Authors:  S Jones; J M Thornton
Journal:  Proc Natl Acad Sci U S A       Date:  1996-01-09       Impact factor: 11.205

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  35 in total

1.  Computational alanine scanning with linear scaling semiempirical quantum mechanical methods.

Authors:  David J Diller; Christine Humblet; Xiaohua Zhang; Lance M Westerhoff
Journal:  Proteins       Date:  2010-08-01

Review 2.  From laptop to benchtop to bedside: structure-based drug design on protein targets.

Authors:  Lu Chen; John K Morrow; Hoang T Tran; Sharangdhar S Phatak; Lei Du-Cuny; Shuxing Zhang
Journal:  Curr Pharm Des       Date:  2012       Impact factor: 3.116

Review 3.  Computational prediction of protein hot spot residues.

Authors:  John Kenneth Morrow; Shuxing Zhang
Journal:  Curr Pharm Des       Date:  2012       Impact factor: 3.116

4.  InterProSurf: a web server for predicting interacting sites on protein surfaces.

Authors:  Surendra S Negi; Catherine H Schein; Numan Oezguen; Trevor D Power; Werner Braun
Journal:  Bioinformatics       Date:  2007-10-12       Impact factor: 6.937

5.  Statistical analysis of physical-chemical properties and prediction of protein-protein interfaces.

Authors:  Surendra S Negi; Werner Braun
Journal:  J Mol Model       Date:  2007-09-09       Impact factor: 1.810

6.  A survey of available tools and web servers for analysis of protein-protein interactions and interfaces.

Authors:  Nurcan Tuncbag; Gozde Kar; Ozlem Keskin; Attila Gursoy; Ruth Nussinov
Journal:  Brief Bioinform       Date:  2009-02-24       Impact factor: 11.622

7.  PRICE (PRotein Interface Conservation and Energetics): a server for the analysis of protein-protein interfaces.

Authors:  Mainak Guharoy; Arumay Pal; Maitrayee Dasgupta; Pinak Chakrabarti
Journal:  J Struct Funct Genomics       Date:  2011-04-26

8.  Minimalistic predictor of protein binding energy: contribution of solvation factor to protein binding.

Authors:  Jeong-Mo Choi; Adrian W R Serohijos; Sean Murphy; Dennis Lucarelli; Leo L Lofranco; Andrew Feldman; Eugene I Shakhnovich
Journal:  Biophys J       Date:  2015-02-17       Impact factor: 4.033

9.  Molecular Modeling of Geometries, Charge Distributions, and Binding Energies of Small, Drug-Like Molecules Containing Nitrogen Heterocycles and Exocyclic Amino Groups in the Gas Phase and Aqueous Solution.

Authors:  Brian R White; Carston R Wagner; Donald G Truhlar; Elizabeth A Amin
Journal:  J Chem Theory Comput       Date:  2008-10-14       Impact factor: 6.006

10.  'Double water exclusion': a hypothesis refining the O-ring theory for the hot spots at protein interfaces.

Authors:  Jinyan Li; Qian Liu
Journal:  Bioinformatics       Date:  2009-01-29       Impact factor: 6.937

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