Article
Annotation transfer between genomes: protein-protein interologs and protein-DNA regulogs.
Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut 06520, USA.
Genome Research (impact factor:
13.61).
06/2004;
14(6):1107-18.
DOI:10.1101/gr.1774904
Source: PubMed
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Article: Comparative assessment of large-scale data sets of protein-protein interactions.
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ABSTRACT: Comprehensive protein protein interaction maps promise to reveal many aspects of the complex regulatory network underlying cellular function. Recently, large-scale approaches have predicted many new protein interactions in yeast. To measure their accuracy and potential as well as to identify biases, strengths and weaknesses, we compare the methods with each other and with a reference set of previously reported protein interactions.Nature 06/2002; 417(6887):399-403. · 36.28 Impact Factor -
Article: MIPS: a database for genomes and protein sequences.
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ABSTRACT: The Munich Information Center for Protein Sequences (MIPS-GSF), Martinsried, near Munich, Germany, continues its longstanding tradition to develop and maintain high quality curated genome databases. In addition, efforts have been intensified to cover the wealth of complete genome sequences in a systematic, comprehensive form. Bioinformatics, supporting national as well as European sequencing and functional analysis projects, has resulted in several up-to-date genome-oriented databases. This report describes growing databases reflecting the progress of sequencing the Arabidopsis thaliana (MATDB) and Neurospora crassa genomes (MNCDB), the yeast genome database (MYGD) extended by functional analysis data, the database of annotated human EST-clusters (HIB) and the database of the complete cDNA sequences from the DHGP (German Human Genome Project). It also contains information on the up-to-date database of complete genomes (PEDANT), the classification of protein sequences (ProtFam) and the collection of protein sequence data within the framework of the PIR-International Protein Sequence Database. These databases can be accessed through the MIPS WWW server (http://www. mips.biochem.mpg.de).Nucleic Acids Research 02/2000; 28(1):37-40. · 8.03 Impact Factor -
Article: A genomic perspective on protein families.
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ABSTRACT: In order to extract the maximum amount of information from the rapidly accumulating genome sequences, all conserved genes need to be classified according to their homologous relationships. Comparison of proteins encoded in seven complete genomes from five major phylogenetic lineages and elucidation of consistent patterns of sequence similarities allowed the delineation of 720 clusters of orthologous groups (COGs). Each COG consists of individual orthologous proteins or orthologous sets of paralogs from at least three lineages. Orthologs typically have the same function, allowing transfer of functional information from one member to an entire COG. This relation automatically yields a number of functional predictions for poorly characterized genomes. The COGs comprise a framework for functional and evolutionary genome analysis.Science 11/1997; 278(5338):631-7. · 31.20 Impact Factor
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Keywords
60% sequence identity
Arabidopsis thaliana
Caenorhabditis elegans
corresponding interacting proteins
different species
Drosophila melanogaster
Helicobacter pylori
interacting proteins
interaction annotation
interactions
joint sequence identity >80%
large-scale interaction networks
limited experimental annotation
model organisms
online database
protein family
protein-protein interactions
sequence similarity
two-hybrid experiments
verify 45 overlaps