Genome Biology

official impact factor 6.89

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Inferring protein domain interactions from databases of interacting proteins

Robert Riley, Christopher Lee, Chiara Sabatti and David Eisenberg*

Genome Biology 2005, 6:R89 doi:10.1186/gb-2005-6-10-r89

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BioMed Central: 16 citations

Research article   Open Access Highly Accessed

Critical assessment of sequence-based protein-protein interaction prediction methods that do not require homologous protein sequences

Yungki Park BMC Bioinformatics 2009, 10:419 (14 December 2009)

Methodology article   Open Access Highly Accessed

Multi-level learning: improving the prediction of protein, domain and residue interactions by allowing information flow between levels

Kevin Y Yip, Philip M Kim, Drew McDermott, Mark Gerstein BMC Bioinformatics 2009, 10:241 (5 August 2009)

The benefits of a multi-level machine-learning approach to predicting protein interactions are demonstrated by an algorithm that integrates predictions of interactions at the whole protein, domain and residue levels, improving the overall accuracy of predictions without propagating errors.

Research article   Open Access

Triangle network motifs predict complexes by complementing high-error interactomes with structural information

Bill Andreopoulos, Christof Winter, Dirk Labudde, Michael Schroeder BMC Bioinformatics 2009, 10:196 (27 June 2009)

Review   Free

Protein function annotation by homology-based inference

Yaniv Loewenstein, Domenico Raimondo, Oliver C Redfern, James Watson, Dmitrij Frishman, Michal Linial, Christine Orengo, Janet Thornton, Anna Tramontano Genome Biology 2009, 10:207 (2 February 2009)

This article is part of a collection on BioSapiens

Where information on homologous proteins is available, progress is being made in automated prediction of protein function from sequence and structure.

Software   Open Access Highly Accessed

NetGrep: fast network schema searches in interactomes

Eric Banks, Elena Nabieva, Ryan Peterson, Mona Singh Genome Biology 2008, 9:R138 (18 September 2008)

NetGrep is a system for searching protein interaction networks for matches to user-supplied network schemas.

Research article   Open Access Highly Accessed

Interrogating domain-domain interactions with parsimony based approaches

Katia S Guimarães, Teresa M Przytycka BMC Bioinformatics 2008, 9:171 (26 March 2008)

Research   Open Access

The MoVIN server for the analysis of protein interaction networks

Paolo Marcatili, Giovanni Bussotti, Anna Tramontano BMC Bioinformatics 2008, 9(Suppl 2):S11 (26 March 2008)

Research article   Open Access

Analysis on multi-domain cooperation for predicting protein-protein interactions

Rui-Sheng Wang, Yong Wang, Ling-Yun Wu, Xiang-Sun Zhang, Luonan Chen BMC Bioinformatics 2007, 8:391 (16 October 2007)

Method   Open Access

InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale

Haidong Wang, Eran Segal, Asa Ben-Hur, Qian-Ru Li, Marc Vidal, Daphne Koller Genome Biology 2007, 8:R192 (14 September 2007)

InSite is a computational method that integrates high-throughput protein and sequence data to infer the specific binding regions of interacting protein pairs.

Research article   Open Access Highly Accessed

An integrative in silico approach for discovering candidates for drug-targetable protein-protein interactions in interactome data

Nobuyoshi Sugaya, Kazuyoshi Ikeda, Toshiyuki Tashiro, Shizu Takeda, Jun Otomo, Yoshiko Ishida, Akiko Shiratori, Atsushi Toyoda, Hideki Noguchi, Tadayuki Takeda, Satoru Kuhara, Yoshiyuki Sakaki, Takao Iwayanagi BMC Pharmacology 2007, 7:10 (20 August 2007)

Research article   Open Access

Reuse of structural domain–domain interactions in protein networks

Benjamin Schuster-Böckler, Alex Bateman BMC Bioinformatics 2007, 8:259 (18 July 2007)

Methodology article   Open Access Highly Accessed

A domain-based approach to predict protein-protein interactions

Mudita Singhal, Haluk Resat BMC Bioinformatics 2007, 8:199 (13 June 2007)

Research   Open Access Highly Accessed

Evolutionary conservation of domain-domain interactions

Zohar Itzhaki, Eyal Akiva, Yael Altuvia, Hanah Margalit Genome Biology 2006, 7:R125 (21 December 2006)

Mapping of domain-domain interactions onto the cellular protein-protein interaction networks of different organisms demonstrates that there is a catalogue of domain pairs that is used for mediating various interactions in the cell

Proceedings   Open Access Highly Accessed

An evaluation of human protein-protein interaction data in the public domain

Suresh Mathivanan, Balamurugan Periaswamy, TKB Gandhi, Kumaran Kandasamy, Shubha Suresh, Riaz Mohmood, YL Ramachandra, Akhilesh Pandey BMC Bioinformatics 2006, 7(Suppl 5):S19 (18 December 2006)

Method   Open Access Highly Accessed

Predicting domain-domain interactions using a parsimony approach

Katia S Guimarães, Raja Jothi, Elena Zotenko, Teresa M Przytycka Genome Biology 2006, 7:R104 (9 November 2006)

A new parsimony approach for the prediction of domain-domain interactions is presented and demonstrated to provide improvement in prediction coverage and accuracy.

Research article   Open Access

Topology and weights in a protein domain interaction network – a novel way to predict protein interactions

Stefan Wuchty BMC Genomics 2006, 7:122 (23 May 2006)