Article (Scientific journals)
Clustering of cognate proteins among distinct proteomes derived from multiple links to a single seed sequence.
Barbosa Da Silva, Adriano; Satagopam, Venkata; Schneider, Reinhard et al.
2008In BMC Bioinformatics, 9, p. 141
Peer Reviewed verified by ORBi


Full Text
Publisher postprint (495.31 kB)

All documents in ORBilu are protected by a user license.

Send to


Keywords :
Algorithms; Amino Acid Sequence; Cluster Analysis; Molecular Sequence Data; Multigene Family; Pattern Recognition, Automated/methods; Proteome/chemistry; Sequence Alignment/methods; Sequence Analysis, Protein/methods; Sequence Homology, Amino Acid
Abstract :
[en] BACKGROUND: Modern proteomes evolved by modification of pre-existing ones. It is extremely important to comparative biology that related proteins be identified as members of the same cognate group, since a characterized putative homolog could be used to find clues about the function of uncharacterized proteins from the same group. Typically, databases of related proteins focus on those from completely-sequenced genomes. Unfortunately, relatively few organisms have had their genomes fully sequenced; accordingly, many proteins are ignored by the currently available databases of cognate proteins, despite the high amount of important genes that are functionally described only for these incomplete proteomes. RESULTS: We have developed a method to cluster cognate proteins from multiple organisms beginning with only one sequence, through connectivity saturation with that Seed sequence. We show that the generated clusters are in agreement with some other approaches based on full genome comparison. CONCLUSION: The method produced results that are as reliable as those produced by conventional clustering approaches. Generating clusters based only on individual proteins of interest is less time consuming than generating clusters for whole proteomes.
Research center :
- Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group)
Disciplines :
Biochemistry, biophysics & molecular biology
Identifiers :
Author, co-author :
Barbosa Da Silva, Adriano ;  European Molecular Biology Laboratory - EMBL
Satagopam, Venkata ;  European Molecular Biology Laboratory - EMBL
Schneider, Reinhard ;  European Molecular Biology Laboratory - EMBL
Ortega, J. Miguel
Language :
Title :
Clustering of cognate proteins among distinct proteomes derived from multiple links to a single seed sequence.
Publication date :
Journal title :
BMC Bioinformatics
Publisher :
BioMed Central, United Kingdom
Volume :
Pages :
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 30 June 2014


Number of views
162 (6 by Unilu)
Number of downloads
108 (0 by Unilu)

Scopus citations®
Scopus citations®
without self-citations
WoS citations


Similar publications

Contact ORBilu