Literature DB >> 18592198

PRISM: protein-protein interaction prediction by structural matching.

Ozlem Keskin1, Ruth Nussinov, Attila Gursoy.   

Abstract

Prism (protein interactions by structural matching) is a system that employs a novel prediction algorithm for protein-protein interactions. It adopts a bottom-up approach that combines structure and sequence conservation in protein interfaces. The algorithm seeks possible binary interactions between proteins through structure similarity and evolutionary conservation of known interfaces. It is composed of a database containing protein interface structures derived from the Protein Data Bank (PDB) and predicted protein-protein interactions. It also provides related information about the proteins and an interactive protein interface viewer. In the current version, 3799 structurally nonredundant interfaces are used to predict the interactions among 6170 proteins. A substantial number of interactions are verified in two publicly available interaction databases (DIP and BIND). As the verified interactions demonstrate the suitability of our approach, unverified ones may point to undiscovered interactions. Prism can be accessed through a user-friendly website (http://prism.ccbb.ku.edu.tr) and it will be updated regularly as new protein structures become available in the PDB. Users may browse through the nonredundant dataset of representative interfaces on which the prediction algorithm depends, retrieve the list of structures similar to these interfaces, or see the results of interaction predictions for a particular protein. Another service provided is the interactive prediction. This is done by running the algorithm for the user input structures.

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Year:  2008        PMID: 18592198      PMCID: PMC2685641          DOI: 10.1007/978-1-59745-398-1_30

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  31 in total

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Journal:  Cancer Immunol Immunother       Date:  2005-09-03       Impact factor: 6.968

2.  Prediction of protein-protein interactions by combining structure and sequence conservation in protein interfaces.

Authors:  A Selim Aytuna; Attila Gursoy; Ozlem Keskin
Journal:  Bioinformatics       Date:  2005-04-26       Impact factor: 6.937

3.  Protein-protein interactions: organization, cooperativity and mapping in a bottom-up Systems Biology approach.

Authors:  Ozlem Keskin; Buyong Ma; Kristina Rogale; K Gunasekaran; Ruth Nussinov
Journal:  Phys Biol       Date:  2005-06       Impact factor: 2.583

4.  Conservation of gene order: a fingerprint of proteins that physically interact.

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Journal:  Trends Biochem Sci       Date:  1998-09       Impact factor: 13.807

Review 5.  Anatomy of hot spots in protein interfaces.

Authors:  A A Bogan; K S Thorn
Journal:  J Mol Biol       Date:  1998-07-03       Impact factor: 5.469

6.  The atomic structure of protein-protein recognition sites.

Authors:  L Lo Conte; C Chothia; J Janin
Journal:  J Mol Biol       Date:  1999-02-05       Impact factor: 5.469

7.  Analysis of protein-protein interaction sites using surface patches.

Authors:  S Jones; J M Thornton
Journal:  J Mol Biol       Date:  1997-09-12       Impact factor: 5.469

8.  Hot regions in protein--protein interactions: the organization and contribution of structurally conserved hot spot residues.

Authors:  Ozlem Keskin; Buyong Ma; Ruth Nussinov
Journal:  J Mol Biol       Date:  2004-12-02       Impact factor: 5.469

9.  SCOPPI: a structural classification of protein-protein interfaces.

Authors:  Christof Winter; Andreas Henschel; Wan Kyu Kim; Michael Schroeder
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

10.  PRISM: protein interactions by structural matching.

Authors:  Utkan Ogmen; Ozlem Keskin; A Selim Aytuna; Ruth Nussinov; Attila Gursoy
Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

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  36 in total

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

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3.  Improved prediction of protein binding sites from sequences using genetic algorithm.

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Journal:  Protein J       Date:  2009-08       Impact factor: 2.371

4.  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

5.  Integration of protein motions with molecular networks reveals different mechanisms for permanent and transient interactions.

Authors:  Nitin Bhardwaj; Alexej Abyzov; Declan Clarke; Chong Shou; Mark B Gerstein
Journal:  Protein Sci       Date:  2011-09-15       Impact factor: 6.725

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

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Journal:  Proteins       Date:  2011-03-01

7.  Allo-network drugs: harnessing allostery in cellular networks.

Authors:  Ruth Nussinov; Chung-Jung Tsai; Peter Csermely
Journal:  Trends Pharmacol Sci       Date:  2011-09-16       Impact factor: 14.819

8.  Regression applied to protein binding site prediction and comparison with classification.

Authors:  Joachim Giard; Jérôme Ambroise; Jean-Luc Gala; Benoît Macq
Journal:  BMC Bioinformatics       Date:  2009-09-03       Impact factor: 3.169

9.  Amyloidogenic regions and interaction surfaces overlap in globular proteins related to conformational diseases.

Authors:  Virginia Castillo; Salvador Ventura
Journal:  PLoS Comput Biol       Date:  2009-08-21       Impact factor: 4.475

10.  Towards inferring time dimensionality in protein-protein interaction networks by integrating structures: the p53 example.

Authors:  Nurcan Tuncbag; Gozde Kar; Attila Gursoy; Ozlem Keskin; Ruth Nussinov
Journal:  Mol Biosyst       Date:  2009-12
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