Literature DB >> 18655061

Principles of flexible protein-protein docking.

Nelly Andrusier1, Efrat Mashiach, Ruth Nussinov, Haim J Wolfson.   

Abstract

Treating flexibility in molecular docking is a major challenge in cell biology research. Here we describe the background and the principles of existing flexible protein-protein docking methods, focusing on the algorithms and their rational. We describe how protein flexibility is treated in different stages of the docking process: in the preprocessing stage, rigid and flexible parts are identified and their possible conformations are modeled. This preprocessing provides information for the subsequent docking and refinement stages. In the docking stage, an ensemble of pre-generated conformations or the identified rigid domains may be docked separately. In the refinement stage, small-scale movements of the backbone and side-chains are modeled and the binding orientation is improved by rigid-body adjustments. For clarity of presentation, we divide the different methods into categories. This should allow the reader to focus on the most suitable method for a particular docking problem.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18655061      PMCID: PMC2574623          DOI: 10.1002/prot.22170

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


  127 in total

1.  A method for biomolecular structural recognition and docking allowing conformational flexibility.

Authors:  B Sandak; R Nussinov; H J Wolfson
Journal:  J Comput Biol       Date:  1998       Impact factor: 1.479

2.  Flexible structural comparison allowing hinge-bending, swiveling motions.

Authors:  G Verbitsky; R Nussinov; H Wolfson
Journal:  Proteins       Date:  1999-02-01

3.  Protein docking along smooth association pathways.

Authors:  C J Camacho; S Vajda
Journal:  Proc Natl Acad Sci U S A       Date:  2001-08-21       Impact factor: 11.205

4.  Protein docking using a genetic algorithm.

Authors:  E J Gardiner; P Willett; P J Artymiuk
Journal:  Proteins       Date:  2001-07-01

5.  Protein design is NP-hard.

Authors:  Niles A Pierce; Erik Winfree
Journal:  Protein Eng       Date:  2002-10

6.  ZDOCK: an initial-stage protein-docking algorithm.

Authors:  Rong Chen; Li Li; Zhiping Weng
Journal:  Proteins       Date:  2003-07-01

7.  Successful discrimination of protein interactions.

Authors:  Carlos J Camacho; David W Gatchell
Journal:  Proteins       Date:  2003-07-01

8.  Protein-protein docking with simultaneous optimization of rigid-body displacement and side-chain conformations.

Authors:  Jeffrey J Gray; Stewart Moughon; Chu Wang; Ora Schueler-Furman; Brian Kuhlman; Carol A Rohl; David Baker
Journal:  J Mol Biol       Date:  2003-08-01       Impact factor: 5.469

9.  Molecular surface recognition: determination of geometric fit between proteins and their ligands by correlation techniques.

Authors:  E Katchalski-Katzir; I Shariv; M Eisenstein; A A Friesem; C Aflalo; I A Vakser
Journal:  Proc Natl Acad Sci U S A       Date:  1992-03-15       Impact factor: 11.205

10.  Can conformational change be described by only a few normal modes?

Authors:  Paula Petrone; Vijay S Pande
Journal:  Biophys J       Date:  2005-12-16       Impact factor: 4.033

View more
  77 in total

1.  A machine learning approach for the prediction of protein surface loop flexibility.

Authors:  Howook Hwang; Thom Vreven; Troy W Whitfield; Kevin Wiehe; Zhiping Weng
Journal:  Proteins       Date:  2011-06-01

2.  SIDEpro: a novel machine learning approach for the fast and accurate prediction of side-chain conformations.

Authors:  Ken Nagata; Arlo Randall; Pierre Baldi
Journal:  Proteins       Date:  2011-11-09

3.  Molecular docking studies of protein-nucleotide complexes using MOLSDOCK (mutually orthogonal Latin squares DOCK).

Authors:  Shankaran Nehru Viji; Nagarajan Balaji; Namasivayam Gautham
Journal:  J Mol Model       Date:  2012-03-01       Impact factor: 1.810

4.  Accurate prediction of the bound form of the Akt pleckstrin homology domain using normal mode analysis to explore structural flexibility.

Authors:  Hoang T Tran; Shuxing Zhang
Journal:  J Chem Inf Model       Date:  2011-08-25       Impact factor: 4.956

Review 5.  Structural NMR of protein oligomers using hybrid methods.

Authors:  Xu Wang; Hsiau-Wei Lee; Yizhou Liu; James H Prestegard
Journal:  J Struct Biol       Date:  2010-11-11       Impact factor: 2.867

6.  Protein-Protein Docking Using EMAP in CHARMM and Support Vector Machine: Application to Ab/Ag Complexes.

Authors:  Jon D Wright; Karen Sargsyan; Xiongwu Wu; Bernard R Brooks; Carmay Lim
Journal:  J Chem Theory Comput       Date:  2013-08-16       Impact factor: 6.006

7.  Fast and accurate modeling of protein-protein interactions by combining template-interface-based docking with flexible refinement.

Authors:  Nurcan Tuncbag; Ozlem Keskin; Ruth Nussinov; Attila Gursoy
Journal:  Proteins       Date:  2012-01-31

Review 8.  Convergence and combination of methods in protein-protein docking.

Authors:  Sandor Vajda; Dima Kozakov
Journal:  Curr Opin Struct Biol       Date:  2009-03-25       Impact factor: 6.809

9.  Evaluating template-based and template-free protein-protein complex structure prediction.

Authors:  Thom Vreven; Howook Hwang; Brian G Pierce; Zhiping Weng
Journal:  Brief Bioinform       Date:  2013-07-01       Impact factor: 11.622

Review 10.  Sampling and scoring: a marriage made in heaven.

Authors:  Sandor Vajda; David R Hall; Dima Kozakov
Journal:  Proteins       Date:  2013-08-19
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.