Genome Biology

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Predicting domain-domain interactions using a parsimony approach

Katia S Guimarães, Raja Jothi, Elena Zotenko and Teresa M Przytycka*

Genome Biology 2006, 7:R104 doi:10.1186/gb-2006-7-11-r104

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Proceedings   Open Access

The role of exon shuffling in shaping protein-protein interaction networks

Douglas V Cancherini, Gustavo S França, Sandro J de Souza BMC Genomics 2010, 11(Suppl 5):S11 (22 December 2010)

Research article   Open Access Highly Accessed

Predicting domain-domain interaction based on domain profiles with feature selection and support vector machines

Alvaro J González, Li Liao BMC Bioinformatics 2010, 11:537 (29 October 2010)

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)

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)

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 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.

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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)

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)