Literature DB >> 17803236

Docking without docking: ISEARCH--prediction of interactions using known interfaces.

Stefan Günther1, Patrick May, Andreas Hoppe, Cornelius Frömmel, Robert Preissner.   

Abstract

The increasing number of solved protein structures provides a solid number of interfaces, if protein-protein interactions, domain-domain contacts, and contacts between biological units are taken into account. An interface library gives us the opportunity to identify surface regions on a target molecule that are similar by local structure and residue composition. If both unbound components of a possible protein complex exhibit structural similarities to a known interface, the unbound structures can be superposed onto the known interfaces. The approach is accompanied by two mathematical problems. Protein surfaces have to be quickly screened by thousands of patches, and similarity has to be evaluated by a suitable scoring scheme. The used algorithm (NeedleHaystack) identifies similar patches within minutes. Structurally related sites are recognized even if only parts of the template patches are structurally related to the interface region. A successful prediction of the protein complex depends on a suitable template of the library. However, the performed tests indicate that interaction sites are identified even if the similarity is very low. The approach complements existing ab initio methods and provides valuable results on standard benchmark sets. (c) 2007 Wiley-Liss, Inc.

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Year:  2007        PMID: 17803236     DOI: 10.1002/prot.21746

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


  22 in total

1.  Templates are available to model nearly all complexes of structurally characterized proteins.

Authors:  Petras J Kundrotas; Zhengwei Zhu; Joël Janin; Ilya A Vakser
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-29       Impact factor: 11.205

2.  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

3.  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

4.  Global and local structural similarity in protein-protein complexes: implications for template-based docking.

Authors:  Petras J Kundrotas; Ilya A Vakser
Journal:  Proteins       Date:  2013-10-17

5.  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
Journal:  Nat Protoc       Date:  2011-08-11       Impact factor: 13.491

6.  New benchmark metrics for protein-protein docking methods.

Authors:  Mu Gao; Jeffrey Skolnick
Journal:  Proteins       Date:  2011-03-01

Review 7.  Protein-protein docking: from interaction to interactome.

Authors:  Ilya A Vakser
Journal:  Biophys J       Date:  2014-10-21       Impact factor: 4.033

8.  Integrating ab initio and template-based algorithms for protein-protein complex structure prediction.

Authors:  Sweta Vangaveti; Thom Vreven; Yang Zhang; Zhiping Weng
Journal:  Bioinformatics       Date:  2020-02-01       Impact factor: 6.937

9.  JAIL: a structure-based interface library for macromolecules.

Authors:  Stefan Günther; Joachim von Eichborn; Patrick May; Robert Preissner
Journal:  Nucleic Acids Res       Date:  2008-10-02       Impact factor: 16.971

10.  GWIDD: Genome-wide protein docking database.

Authors:  Petras J Kundrotas; Zhengwei Zhu; Ilya A Vakser
Journal:  Nucleic Acids Res       Date:  2009-11-09       Impact factor: 16.971

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