Literature DB >> 22349545

Enriching the human apoptosis pathway by predicting the structures of protein-protein complexes.

Saliha Ece Acuner Ozbabacan1, Ozlem Keskin, Ruth Nussinov, Attila Gursoy.   

Abstract

Apoptosis is a matter of life and death for cells and both inhibited and enhanced apoptosis may be involved in the pathogenesis of human diseases. The structures of protein-protein complexes in the apoptosis signaling pathway are important as the structural pathway helps in understanding the mechanism of the regulation and information transfer, and in identifying targets for drug design. Here, we aim to predict the structures toward a more informative pathway than currently available. Based on the 3D structures of complexes in the target pathway and a protein-protein interaction modeling tool which allows accurate and proteome-scale applications, we modeled the structures of 29 interactions, 21 of which were previously unknown. Next, 27 interactions which were not listed in the KEGG apoptosis pathway were predicted and subsequently validated by the experimental data in the literature. Additional interactions are also predicted. The multi-partner hub proteins are analyzed and interactions that can and cannot co-exist are identified. Overall, our results enrich the understanding of the pathway with interactions and provide structural details for the human apoptosis pathway. They also illustrate that computational modeling of protein-protein interactions on a large scale can help validate experimental data and provide accurate, structural atom-level detail of signaling pathways in the human cell.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22349545      PMCID: PMC3378801          DOI: 10.1016/j.jsb.2012.02.002

Source DB:  PubMed          Journal:  J Struct Biol        ISSN: 1047-8477            Impact factor:   2.867


  51 in total

1.  Are protein-protein interfaces more conserved in sequence than the rest of the protein surface?

Authors:  Daniel R Caffrey; Shyamal Somaroo; Jason D Hughes; Julian Mintseris; Enoch S Huang
Journal:  Protein Sci       Date:  2004-01       Impact factor: 6.725

2.  Lasker Clinical Medical Research Award. TNF defined as a therapeutic target for rheumatoid arthritis and other autoimmune diseases.

Authors:  Marc Feldmann; Ravinder N Maini
Journal:  Nat Med       Date:  2003-10       Impact factor: 53.440

3.  A method for simultaneous alignment of multiple protein structures.

Authors:  Maxim Shatsky; Ruth Nussinov; Haim J Wolfson
Journal:  Proteins       Date:  2004-07-01

4.  A new, structurally nonredundant, diverse data set of protein-protein interfaces and its implications.

Authors:  Ozlem Keskin; Chung-Jung Tsai; Haim Wolfson; Ruth Nussinov
Journal:  Protein Sci       Date:  2004-04       Impact factor: 6.725

Review 5.  The interplay between the Bcl-2 family and death receptor-mediated apoptosis.

Authors:  Martin R Sprick; Henning Walczak
Journal:  Biochim Biophys Acta       Date:  2004-03-01

6.  FADD, a novel death domain-containing protein, interacts with the death domain of Fas and initiates apoptosis.

Authors:  A M Chinnaiyan; K O'Rourke; M Tewari; V M Dixit
Journal:  Cell       Date:  1995-05-19       Impact factor: 41.582

Review 7.  An evolutionary perspective on apoptosis.

Authors:  D L Vaux; G Haecker; A Strasser
Journal:  Cell       Date:  1994-03-11       Impact factor: 41.582

Review 8.  Apoptosis in the pathogenesis and treatment of disease.

Authors:  C B Thompson
Journal:  Science       Date:  1995-03-10       Impact factor: 47.728

9.  Cytotoxicity-dependent APO-1 (Fas/CD95)-associated proteins form a death-inducing signaling complex (DISC) with the receptor.

Authors:  F C Kischkel; S Hellbardt; I Behrmann; M Germer; M Pawlita; P H Krammer; M E Peter
Journal:  EMBO J       Date:  1995-11-15       Impact factor: 11.598

Review 10.  Apoptosis: a basic biological phenomenon with wide-ranging implications in tissue kinetics.

Authors:  J F Kerr; A H Wyllie; A R Currie
Journal:  Br J Cancer       Date:  1972-08       Impact factor: 7.640

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  19 in total

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

Authors:  Emine Guven-Maiorov; Ozlem Keskin; Attila Gursoy; Ruth Nussinov
Journal:  Biophys J       Date:  2015-08-11       Impact factor: 4.033

2.  Structural Modeling of GR Interactions with the SWI/SNF Chromatin Remodeling Complex and C/EBP.

Authors:  Serena Muratcioglu; Diego M Presman; John R Pooley; Lars Grøntved; Gordon L Hager; Ruth Nussinov; Ozlem Keskin; Attila Gursoy
Journal:  Biophys J       Date:  2015-08-13       Impact factor: 4.033

3.  Modeling protein assemblies in the proteome.

Authors:  Guray Kuzu; Ozlem Keskin; Ruth Nussinov; Attila Gursoy
Journal:  Mol Cell Proteomics       Date:  2014-01-20       Impact factor: 5.911

4.  GTP-Dependent K-Ras Dimerization.

Authors:  Serena Muratcioglu; Tanmay S Chavan; Benjamin C Freed; Hyunbum Jang; Lyuba Khavrutskii; R Natasha Freed; Marzena A Dyba; Karen Stefanisko; Sergey G Tarasov; Attila Gursoy; Ozlem Keskin; Nadya I Tarasova; Vadim Gaponenko; Ruth Nussinov
Journal:  Structure       Date:  2015-06-04       Impact factor: 5.006

5.  Exploiting conformational ensembles in modeling protein-protein interactions on the proteome scale.

Authors:  Guray Kuzu; Attila Gursoy; Ruth Nussinov; Ozlem Keskin
Journal:  J Proteome Res       Date:  2013-04-30       Impact factor: 4.466

Review 6.  Structural bioinformatics of the interactome.

Authors:  Donald Petrey; Barry Honig
Journal:  Annu Rev Biophys       Date:  2014       Impact factor: 12.981

7.  Protein-protein interaction network prediction by using rigid-body docking tools: application to bacterial chemotaxis.

Authors:  Yuri Matsuzaki; Masahito Ohue; Nobuyuki Uchikoga; Yutaka Akiyama
Journal:  Protein Pept Lett       Date:  2014       Impact factor: 1.890

8.  Integrating structure to protein-protein interaction networks that drive metastasis to brain and lung in breast cancer.

Authors:  H Billur Engin; Emre Guney; Ozlem Keskin; Baldo Oliva; Attila Gursoy
Journal:  PLoS One       Date:  2013-11-22       Impact factor: 3.240

9.  MEGADOCK 3.0: a high-performance protein-protein interaction prediction software using hybrid parallel computing for petascale supercomputing environments.

Authors:  Yuri Matsuzaki; Nobuyuki Uchikoga; Masahito Ohue; Takehiro Shimoda; Toshiyuki Sato; Takashi Ishida; Yutaka Akiyama
Journal:  Source Code Biol Med       Date:  2013-09-03

10.  Non-redundant unique interface structures as templates for modeling protein interactions.

Authors:  Engin Cukuroglu; Attila Gursoy; Ruth Nussinov; Ozlem Keskin
Journal:  PLoS One       Date:  2014-01-27       Impact factor: 3.240

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