Literature DB >> 20077569

FiberDock: Flexible induced-fit backbone refinement in molecular docking.

Efrat Mashiach1, Ruth Nussinov, Haim J Wolfson.   

Abstract

Upon binding, proteins undergo conformational changes. These changes often prevent rigid-body docking methods from predicting the 3D structure of a complex from the unbound conformations of its proteins. Handling protein backbone flexibility is a major challenge for docking methodologies, as backbone flexibility adds a huge number of degrees of freedom to the search space, and therefore considerably increases the running time of docking algorithms. Normal mode analysis permits description of protein flexibility as a linear combination of discrete movements (modes). Low-frequency modes usually describe the large-scale conformational changes of the protein. Therefore, many docking methods model backbone flexibility by using only few modes, which have the lowest frequencies. However, studies show that due to molecular interactions, many proteins also undergo local and small-scale conformational changes, which are described by high-frequency normal modes. Here we present a new method, FiberDock, for docking refinement which models backbone flexibility by an unlimited number of normal modes. The method iteratively minimizes the structure of the flexible protein along the most relevant modes. The relevance of a mode is calculated according to the correlation between the chemical forces, applied on each atom, and the translation vector of each atom, according to the normal mode. The results show that the method successfully models backbone movements that occur during molecular interactions and considerably improves the accuracy and the ranking of rigid-docking models of protein-protein complexes. A web server for the FiberDock method is available at: http://bioinfo3d.cs.tau.ac.il/FiberDock. 2009 Wiley-Liss, Inc.

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Year:  2010        PMID: 20077569      PMCID: PMC4290165          DOI: 10.1002/prot.22668

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


  49 in total

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

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Journal:  J Mol Biol       Date:  2003-08-01       Impact factor: 5.469

6.  The relationship between the flexibility of proteins and their conformational states on forming protein-protein complexes with an application to protein-protein docking.

Authors:  Graham R Smith; Michael J E Sternberg; Paul A Bates
Journal:  J Mol Biol       Date:  2005-04-15       Impact factor: 5.469

Review 7.  Progress in modeling of protein structures and interactions.

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8.  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

9.  Docking essential dynamics eigenstructures.

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10.  Protein-protein docking with backbone flexibility.

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Journal:  J Mol Biol       Date:  2007-08-02       Impact factor: 5.469

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  69 in total

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Journal:  Proteins       Date:  2011-06-01

2.  Human proteome-scale structural modeling of E2-E3 interactions exploiting interface motifs.

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5.  A Structural View of Negative Regulation of the Toll-like Receptor-Mediated Inflammatory Pathway.

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6.  Dissecting disease inheritance modes in a three-dimensional protein network challenges the "guilt-by-association" principle.

Authors:  Yu Guo; Xiaomu Wei; Jishnu Das; Andrew Grimson; Steven M Lipkin; Andrew G Clark; Haiyuan Yu
Journal:  Am J Hum Genet       Date:  2013-06-20       Impact factor: 11.025

7.  Detecting protein conformational changes in interactions via scaling known structures.

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Journal:  J Comput Biol       Date:  2013-10       Impact factor: 1.479

8.  Predicting protein-protein interactions on a proteome scale by matching evolutionary and structural similarities at interfaces using PRISM.

Authors:  Nurcan Tuncbag; Attila Gursoy; Ruth Nussinov; Ozlem Keskin
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9.  A computerized protein-protein interaction modeling study of ampicillin antibody specificity in relation to biosensor development.

Authors:  Minghua Wang; Jianping Wang
Journal:  J Mol Model       Date:  2011-02-11       Impact factor: 1.810

10.  Pushing the Backbone in Protein-Protein Docking.

Authors:  Daisuke Kuroda; Jeffrey J Gray
Journal:  Structure       Date:  2016-08-25       Impact factor: 5.006

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