Genome Biology

official impact factor 6.89

Open Access Highly Access

Prolinks: a database of protein functional linkages derived from coevolution

Peter M Bowers, Matteo Pellegrini, Mike J Thompson, Joe Fierro, Todd O Yeates and David Eisenberg*

Genome Biology 2004, 5:R35 doi:

Accesses  

  • Last 30 days: 64 accesses
  • Last year: 1046 accesses
  • All time: 17795 accesses

Cited by

BioMed Central: 33 citations

Research   Open Access

Global protein interactome exploration through mining genome-scale data in Arabidopsis thaliana

Feng Xu, Guang Li, Chen Zhao, Yuhua Li, Peng Li, Jian Cui, Youping Deng, Tieliu Shi BMC Genomics 2010, 11(Suppl 2):S2 (2 November 2010)

Review   Open Access

Construction and analysis of protein–protein interaction networks

Karthik Raman Automated Experimentation 2010, 2:2 (15 February 2010)

Research article   Open Access Highly Accessed

Discovering local patterns of co - evolution: computational aspects and biological examples

Tamir Tuller, Yifat Felder, Martin Kupiec BMC Bioinformatics 2010, 11:43 (22 January 2010)

Proceedings   Open Access

PutidaNET: Interactome database service and network analysis of Pseudomonas putida KT2440

Seong-Jin Park, Jong-Soon Choi, Byoung-Chul Kim, Seong-Woong Jho, Jea-Woon Ryu, Daeui Park, Kyung-A Lee, Jong Bhak, Seung Il Kim BMC Genomics 2009, 10(Suppl 3):S18 (3 December 2009)

Research   Open Access Highly Accessed

Gene networks in Drosophila melanogaster: integrating experimental data to predict gene function

James C Costello, Mehmet M Dalkilic, Scott M Beason, Jeff R Gehlhausen, Rupali Patwardhan, Sumit Middha, Brian D Eads, Justen R Andrews Genome Biology 2009, 10:R97 (16 September 2009)

The first computational interaction network built from Drosophila melanogaster protein-protein and genetic interaction data allows the functional annotation of orphan genes and reveals clusters of functionally-related genes.

Research article   Open Access

RRW: repeated random walks on genome-scale protein networks for local cluster discovery

Kathy Macropol, Tolga Can, Ambuj K Singh BMC Bioinformatics 2009, 10:283 (9 September 2009)

Proceedings   Open Access

BioNetBuilder2.0: bringing systems biology to chicken and other model organisms

Jay H Konieczka, Kevin Drew, Alex Pine, Kevin Belasco, Sean Davey, Tatiana A Yatskievych, Richard Bonneau, Parker B Antin BMC Genomics 2009, 10(Suppl 2):S6 (14 July 2009)

Research article   Open Access Highly Accessed

The Symbiosis Interactome: a computational approach reveals novel components, functional interactions and modules in Sinorhizobium meliloti

Ignacio Rodriguez-Llorente, Miguel A Caviedes, Mohammed Dary, Antonio J Palomares, Francisco M Cánovas, José M Peregrín-Alvarez BMC Systems Biology 2009, 3:63 (16 June 2009)

Research   Open Access Highly Accessed

Co-evolutionary networks of genes and cellular processes across fungal species

Tamir Tuller, Martin Kupiec, Eytan Ruppin Genome Biology 2009, 10:R48 (5 May 2009)

Two new measures of evolution are used to study co-evolutionary networks of fungal genes and cellular processes; links between co-evolution and co-functionality are revealed.

Research article   Open Access Highly Accessed

Uncovering new signaling proteins and potential drug targets through the interactome analysis of Mycobacterium tuberculosis

Tao Cui, Lei Zhang, Xizhou Wang, Zheng-Guo He BMC Genomics 2009, 10:118 (19 March 2009)

Research article   Open Access Highly Accessed

Predicting protein linkages in bacteria: Which method is best depends on task

Anis Karimpour-Fard, Sonia M Leach, Ryan T Gill, Lawrence E Hunter BMC Bioinformatics 2008, 9:397 (24 September 2008)

Research article   Open Access

The topology of the bacterial co-conserved protein network and its implications for predicting protein function

Anis Karimpour-Fard, Sonia M Leach, Lawrence E Hunter, Ryan T Gill BMC Genomics 2008, 9:313 (30 June 2008)

Research article   Open Access Highly Accessed

Improving protein function prediction methods with integrated literature data

Aaron P Gabow, Sonia M Leach, William A Baumgartner, Lawrence E Hunter, Debra S Goldberg BMC Bioinformatics 2008, 9:198 (15 April 2008)

Software   Open Access Highly Accessed

PSAT: A web tool to compare genomic neighborhoods of multiple prokaryotic genomes

Christine Fong, Laurence Rohmer, Matthew Radey, Michael Wasnick, Mitchell J Brittnacher BMC Bioinformatics 2008, 9:170 (26 March 2008)

Research article   Open Access

High-precision high-coverage functional inference from integrated data sources

Bolan Linghu, Evan S Snitkin, Dustin T Holloway, Adam M Gustafson, Yu Xia, Charles DeLisi BMC Bioinformatics 2008, 9:119 (25 February 2008)

Research article   Open Access

Evidence of probabilistic behaviour in protein interaction networks

Joseph Ivanic, Anders Wallqvist, Jaques Reifman BMC Systems Biology 2008, 2:11 (31 January 2008)

Method   Open Access Highly Accessed

Broad network-based predictability of Saccharomyces cerevisiae gene loss-of-function phenotypes

Kriston L McGary, Insuk Lee, Edward M Marcotte Genome Biology 2007, 8:R258 (5 December 2007)

Loss-of-function phenotypes of yeast genes can be predicted from the loss-of-function phenotypes of their neighbours in functional gene networks. This could potentially be applied to the prediction of human disease genes.

Research article   Open Access

Investigation of factors affecting prediction of protein-protein interaction networks by phylogenetic profiling

Anis Karimpour-Fard, Lawrence Hunter, Ryan T Gill BMC Genomics 2007, 8:393 (29 October 2007)

Methodology article   Open Access Highly Accessed

InPrePPI: an integrated evaluation method based on genomic context for predicting protein-protein interactions in prokaryotic genomes

Jingchun Sun, Yan Sun, Guohui Ding, Qi Liu, Chuan Wang, Youyu He, Tieliu Shi, Yixue Li, Zhongming Zhao BMC Bioinformatics 2007, 8:414 (26 October 2007)

Research article   Open Access

On the detection of functionally coherent groups of protein domains with an extension to protein annotation

William A McLaughlin, Ken Chen, Tingjun Hou, Wei Wang BMC Bioinformatics 2007, 8:390 (16 October 2007)

Method   Open Access Highly Accessed

Cross-species cluster co-conservation: a new method for generating protein interaction networks

Anis Karimpour-Fard, Corrella S Detweiler, Kimberly D Erickson, Lawrence Hunter, Ryan T Gill Genome Biology 2007, 8:R185 (5 September 2007)

Cluster Co-Conservation (CCC) has been extended to a method for developing protein interaction networks based on co-conservation between protein pairs across multiple species, Cross-Species Cluster Co-Conservation (CS-CCC).

Research   Open Access Highly Accessed

A proteome-wide protein interaction map for Campylobacter jejuni

Jodi R Parrish, Jingkai Yu, Guozhen Liu, Julie A Hines, Jason E Chan, Bernie A Mangiola, Huamei Zhang, Svetlana Pacifico, Farshad Fotouhi, Victor J DiRita, Trey Ideker, Phillip Andrews, Russell L Finley Genome Biology 2007, 8:R130 (5 July 2007)

'Systematic identification of protein interactions for the bacterium Campylobacter jejuni using high-throughput yeast two-hybrid screens detected interactions for 80% of the organism's proteins.

Research article   Open Access Highly Accessed

Discovering functional linkages and uncharacterized cellular pathways using phylogenetic profile comparisons: a comprehensive assessment

Raja Jothi, Teresa M Przytycka, L Aravind BMC Bioinformatics 2007, 8:173 (23 May 2007)

Proceedings   Open Access

An improved method for identifying functionally linked proteins using phylogenetic profiles

Shawn Cokus, Sayaka Mizutani, Matteo Pellegrini BMC Bioinformatics 2007, 8(Suppl 4):S7 (22 May 2007)

Methodology article   Open Access Highly Accessed

Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks

David J Reiss, Nitin S Baliga, Richard Bonneau BMC Bioinformatics 2006, 7:280 (2 June 2006)

Method   Open Access Highly Accessed

The Inferelator: an algorithm for learning parsimonious regulatory networks from systems-biology data sets de novo

Richard Bonneau, David J Reiss, Paul Shannon, Marc Facciotti, Leroy Hood, Nitin S Baliga, Vesteinn Thorsson Genome Biology 2006, 7:R36 (10 May 2006)

The Inferelator, a method for deriving genome-wide transcriptional regulatory interactions, successfully predicted global expression in Halobacterium under novel perturbations.

Methodology article   Open Access

Identifying metabolic enzymes with multiple types of association evidence

Peter Kharchenko, Lifeng Chen, Yoav Freund, Dennis Vitkup, George M Church BMC Bioinformatics 2006, 7:177 (29 March 2006)

Software   Open Access Highly Accessed

The Gaggle: An open-source software system for integrating bioinformatics software and data sources

Paul T Shannon, David J Reiss, Richard Bonneau, Nitin S Baliga BMC Bioinformatics 2006, 7:176 (28 March 2006)

Methodology article   Open Access

Gene annotation and network inference by phylogenetic profiling

Jie Wu, Zhenjun Hu, Charles DeLisi BMC Bioinformatics 2006, 7:80 (17 February 2006)

Method   Open Access Highly Accessed

Predicting genes for orphan metabolic activities using phylogenetic profiles

Lifeng Chen, Dennis Vitkup Genome Biology 2006, 7:R17 (15 February 2006)

A method that combines local structure of a metabolic network with phylogenetic profiles is described and used to assign genes to orphan metabolic activities in yeast and Escherichia coli.

Research article   Open Access

HomoMINT: an inferred human network based on orthology mapping of protein interactions discovered in model organisms

Maria Persico, Arnaud Ceol, Caius Gavrila, Robert Hoffmann, Arnaldo Florio, Gianni Cesareni BMC Bioinformatics 2005, 6(Suppl 4):S21 (1 December 2005)

Software   Open Access Highly Accessed

Phydbac "Gene Function Predictor" : a gene annotation tool based on genomic context analysis

François Enault, Karsten Suhre, Jean-Michel Claverie BMC Bioinformatics 2005, 6:247 (12 October 2005)

Gene Function Predictor, included in the updated Phydbac tool compares well with other genomic context servers in proposing putative associations between Escherichia coli K-12 proteins, demonstrating an accuracy of over 70% in the linkage of these predictions to gene ontology terms.

Research article   Open Access Highly Accessed

Phylogenetic detection of conserved gene clusters in microbial genomes

Yu Zheng, Brian P Anton, Richard J Roberts, Simon Kasif BMC Bioinformatics 2005, 6:243 (3 October 2005)