Prolinks: a database of protein functional linkages derived from coevolution

The advent of whole-genome sequencing has led to methods that infer protein function and linkages. We have combined four such algorithms (phylogenetic profile, Rosetta Stone, gene neighbor and gene cluster) in a single database - Prolinks - that spans 83 organisms and includes 10 million high-confidence links. The Proteome Navigator tool allows users to browse predicted linkage networks interactively, providing accompanying annotation from public databases. The Prolinks database and the Proteome Navigator tool are available for use online at http://dip.doe-mbi.ucla.edu/pronav.

[1]  Mark D'Souza,et al.  Use of contiguity on the chromosome to predict functional coupling , 1998, Silico Biol..

[2]  Ioannis Xenarios,et al.  DIP, the Database of Interacting Proteins: a research tool for studying cellular networks of protein interactions , 2002, Nucleic Acids Res..

[3]  C. Deane,et al.  Protein Interactions , 2002, Molecular & Cellular Proteomics.

[4]  B. Snel,et al.  Conservation of gene order: a fingerprint of proteins that physically interact. , 1998, Trends in biochemical sciences.

[5]  D. Eisenberg,et al.  Protein function in the post-genomic era , 2000, Nature.

[6]  D. Eisenberg,et al.  Assigning protein functions by comparative genome analysis: protein phylogenetic profiles. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[7]  Charles DeLisi,et al.  Predictome: a database of putative functional links between proteins , 2002, Nucleic Acids Res..

[8]  D. Eisenberg,et al.  Inference of protein function and protein linkages in Mycobacterium tuberculosis based on prokaryotic genome organization: a combined computational approach , 2003, Genome Biology.

[9]  M. Pellegrini,et al.  Computational method to assign microbial genes to pathways , 2001, Journal of cellular biochemistry. Supplement.

[10]  Warren C. Lathe,et al.  Predicting protein function by genomic context: quantitative evaluation and qualitative inferences. , 2000, Genome research.

[11]  E. Marcotte,et al.  Predicting functional linkages from gene fusions with confidence. , 2002, Applied bioinformatics.

[12]  D. Eisenberg,et al.  Detecting protein function and protein-protein interactions from genome sequences. , 1999, Science.

[13]  Anton J. Enright,et al.  Protein interaction maps for complete genomes based on gene fusion events , 1999, Nature.

[14]  T. Jenssen,et al.  A literature network of human genes for high-throughput analysis of gene expression , 2001, Nature Genetics.

[15]  P. Bork,et al.  Measuring genome evolution. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[16]  R. Overbeek,et al.  The use of gene clusters to infer functional coupling. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[17]  Simon Kasif,et al.  Identification of functional links between genes using phylogenetic profiles , 2003, Bioinform..

[18]  M. Vidal,et al.  Identification of potential interaction networks using sequence-based searches for conserved protein-protein interactions or "interologs". , 2001, Genome research.

[19]  E. Marcotte,et al.  Computational genetics: finding protein function by nonhomology methods. , 2000, Current opinion in structural biology.

[20]  D. Eisenberg,et al.  A combined algorithm for genome-wide prediction of protein function , 1999, Nature.

[21]  Julio Collado-Vides,et al.  A powerful non-homology method for the prediction of operons in prokaryotes , 2002, ISMB.

[22]  Christian von Mering,et al.  STRING: a database of predicted functional associations between proteins , 2003, Nucleic Acids Res..

[23]  Peter D. Karp,et al.  The EcoCyc Database , 2002, Nucleic Acids Res..

[24]  D. Lipman,et al.  A genomic perspective on protein families. , 1997, Science.

[25]  M. Pellegrini Computational methods for protein function analysis. , 2001, Current opinion in chemical biology.

[26]  S. Salzberg,et al.  Prediction of operons in microbial genomes. , 2001, Nucleic acids research.