Literature DB >> 24895853

Structural bioinformatics of the interactome.

Donald Petrey1, Barry Honig.   

Abstract

The past decade has seen a dramatic expansion in the number and range of techniques available to obtain genome-wide information and to analyze this information so as to infer both the functions of individual molecules and how they interact to modulate the behavior of biological systems. Here, we review these techniques, focusing on the construction of physical protein-protein interaction networks, and highlighting approaches that incorporate protein structure, which is becoming an increasingly important component of systems-level computational techniques. We also discuss how network analyses are being applied to enhance our basic understanding of biological systems and their disregulation, as well as how these networks are being used in drug development.

Entities:  

Keywords:  machine learning; network biology; protein-protein interaction; structural systems biology

Mesh:

Substances:

Year:  2014        PMID: 24895853      PMCID: PMC4113968          DOI: 10.1146/annurev-biophys-051013-022726

Source DB:  PubMed          Journal:  Annu Rev Biophys        ISSN: 1936-122X            Impact factor:   12.981


  196 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.  Prediction of protein-protein interactions using random decision forest framework.

Authors:  Xue-Wen Chen; Mei Liu
Journal:  Bioinformatics       Date:  2005-10-18       Impact factor: 6.937

Review 3.  Targeting and tinkering with interaction networks.

Authors:  Robert B Russell; Patrick Aloy
Journal:  Nat Chem Biol       Date:  2008-11       Impact factor: 15.040

Review 4.  Protein networks in disease.

Authors:  Trey Ideker; Roded Sharan
Journal:  Genome Res       Date:  2008-04       Impact factor: 9.043

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

Authors:  T Dandekar; B Snel; M Huynen; P Bork
Journal:  Trends Biochem Sci       Date:  1998-09       Impact factor: 13.807

6.  Incorporating information on predicted solvent accessibility to the co-evolution-based study of protein interactions.

Authors:  David Ochoa; Ponciano García-Gutiérrez; David Juan; Alfonso Valencia; Florencio Pazos
Journal:  Mol Biosyst       Date:  2012-10-26

7.  Sequential application of anticancer drugs enhances cell death by rewiring apoptotic signaling networks.

Authors:  Michael J Lee; Albert S Ye; Alexandra K Gardino; Anne Margriet Heijink; Peter K Sorger; Gavin MacBeath; Michael B Yaffe
Journal:  Cell       Date:  2012-05-11       Impact factor: 41.582

8.  ModBase, a database of annotated comparative protein structure models, and associated resources.

Authors:  Ursula Pieper; Benjamin M Webb; David T Barkan; Dina Schneidman-Duhovny; Avner Schlessinger; Hannes Braberg; Zheng Yang; Elaine C Meng; Eric F Pettersen; Conrad C Huang; Ruchira S Datta; Parthasarathy Sampathkumar; Mallur S Madhusudhan; Kimmen Sjölander; Thomas E Ferrin; Stephen K Burley; Andrej Sali
Journal:  Nucleic Acids Res       Date:  2010-11-19       Impact factor: 16.971

9.  Comprehensive curation and analysis of global interaction networks in Saccharomyces cerevisiae.

Authors:  Teresa Reguly; Ashton Breitkreutz; Lorrie Boucher; Bobby-Joe Breitkreutz; Nizar N Batada; Gary C Hon; Chad L Myers; Ainslie Parsons; Helena Friesen; Rose Oughtred; Amy Tong; Chris Stark; Yuen Ho; David Botstein; Brenda Andrews; Charles Boone; Olga G Troyanskya; Trey Ideker; Kara Dolinski; Mike Tyers
Journal:  J Biol       Date:  2006-06-08

Review 10.  Systems biology and the host response to viral infection.

Authors:  Seng-Lai Tan; Gopinath Ganji; Bryan Paeper; Sean Proll; Michael G Katze
Journal:  Nat Biotechnol       Date:  2007-12       Impact factor: 54.908

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  16 in total

Review 1.  From Atoms to Cells: Using Mesoscale Landscapes to Construct Visual Narratives.

Authors:  David S Goodsell; Margaret A Franzen; Tim Herman
Journal:  J Mol Biol       Date:  2018-06-07       Impact factor: 5.469

2.  Modeling complexes of modeled proteins.

Authors:  Ivan Anishchenko; Petras J Kundrotas; Ilya A Vakser
Journal:  Proteins       Date:  2016-10-24

3.  Exploring Protein-Protein Interactions as Drug Targets for Anti-cancer Therapy with In Silico Workflows.

Authors:  Alexander Goncearenco; Minghui Li; Franco L Simonetti; Benjamin A Shoemaker; Anna R Panchenko
Journal:  Methods Mol Biol       Date:  2017

4.  Dockground: A comprehensive data resource for modeling of protein complexes.

Authors:  Petras J Kundrotas; Ivan Anishchenko; Taras Dauzhenka; Ian Kotthoff; Daniil Mnevets; Matthew M Copeland; Ilya A Vakser
Journal:  Protein Sci       Date:  2017-10-10       Impact factor: 6.725

5.  Use of mechanistic models to integrate and analyze multiple proteomic datasets.

Authors:  Edward C Stites; Meraj Aziz; Matthew S Creamer; Daniel D Von Hoff; Richard G Posner; William S Hlavacek
Journal:  Biophys J       Date:  2015-04-07       Impact factor: 4.033

6.  An interolog-based barley interactome as an integration framework for immune signaling.

Authors:  Valeria Velásquez-Zapata; James Mitch Elmore; Gregory Fuerst; Roger P Wise
Journal:  Genetics       Date:  2022-05-31       Impact factor: 4.402

7.  Structural Perspectives on the Evolutionary Expansion of Unique Protein-Protein Binding Sites.

Authors:  Alexander Goncearenco; Alexey K Shaytan; Benjamin A Shoemaker; Anna R Panchenko
Journal:  Biophys J       Date:  2015-07-23       Impact factor: 4.033

8.  Decomposing the space of protein quaternary structures with the interface fragment pair library.

Authors:  Zhong-Ru Xie; Jiawen Chen; Yilin Zhao; Yinghao Wu
Journal:  BMC Bioinformatics       Date:  2015-01-16       Impact factor: 3.169

9.  DisVis: quantifying and visualizing accessible interaction space of distance-restrained biomolecular complexes.

Authors:  G C P van Zundert; A M J J Bonvin
Journal:  Bioinformatics       Date:  2015-05-29       Impact factor: 6.937

10.  Predicting peptide-mediated interactions on a genome-wide scale.

Authors:  T Scott Chen; Donald Petrey; Jose Ignacio Garzon; Barry Honig
Journal:  PLoS Comput Biol       Date:  2015-05-04       Impact factor: 4.475

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