BMC Bioinformatics

official impact factor 3.03

Open Access

An integrated approach to the prediction of domain-domain interactions

Hyunju Lee, Minghua Deng, Fengzhu Sun* and Ting Chen*

BMC Bioinformatics 2006, 7:269 doi:10.1186/1471-2105-7-269

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BioMed Central: 12 citations

Proceedings   Open Access

IDDI: Integrated Domain-Domain Interaction and Protein Interaction Analysis System

Yul Kim, Bumki Min, Gwan-Su Yi Proteome Science 2012, 10(Suppl 1):S9 (21 June 2012)

Proceedings   Open Access

Bayesian probabilistic network modeling from multiple independent replicates

Kristopher L Patton, David J John, James L Norris BMC Bioinformatics 2012, 13(Suppl 9):S6 (11 June 2012)

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)

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

Ab initio and homology based prediction of protein domains by recursive neural networks

Ian Walsh, Alberto JM Martin, Catherine Mooney, Enrico Rubagotti, Alessandro Vullo, Gianluca Pollastri BMC Bioinformatics 2009, 10:195 (26 June 2009)

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

Denoising inferred functional association networks obtained by gene fusion analysis

Atanas Kamburov, Leon Goldovsky, Shiri Freilich, Aliki Kapazoglou, Victor Kunin, Anton J Enright, Athanasios Tsaftaris, Christos A Ouzounis BMC Genomics 2007, 8:460 (14 December 2007)

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)

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)