DIVCLUS: an automatic method in the GEANFAMMER package that finds homologous domains in single- and multi-domain proteins.

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Motivation: Large-scale determination of relationships between the proteins produced by genome sequences is now common. All protein sequences are matched and those that have high match scores are clustered into families. In cases where the proteins al-e built of several domains or duplication modules, this can lead to misleading results. Consider the very simple example of three proteins: I, formed by duplication modules A and B; 2, formed by duplication modules B' and C; and 3, formed by duplication modules C' and D. Duplication modules B and B' are homologous, as are C and C'. Matching the sequences of 1, 2 and 3 followed by simple single-linkage clustering would put all three in the same family even though proteins 1 and 3 are not related. This is because the different pal fs of 2 match 1 and 3. This paper describes a procedure, DIVCLUS, that divides such complex clusters of partially related sequences into simple clusters that contain only related duplication modules. In the example just given, it would produce two groups of sequences: the first with domains B of sequence I and B of sequence 2, and the second with domain C of sequence 2 and C of sequence 3. DIVCLUS is part of a package called GEANFAMMER, for GEnome ANalysis and protein FAMily MakER. The package automates the detection of families of duplication modules fi-om a protein sequence database. Results: DIVCLUS has been applied to the division of single-linkage clusters generated from the protein sequences of sh completely sequenced bacterial genomes. Our of 12 013 genes in these six genomes, 4563 single- and multi-domain sequences formed 1071 complex clusters. Application of the DIVCLUS program resolved these clusters into 2113 clusters corresponding to single duplication modules.
Publisher
Oxford Univ Press
Issue Date
1998
Language
English
Article Type
Article
Keywords

SEQUENCE; GENOME

Citation

BIOINFORMATICS, v.14, no.2, pp.144 - 150

ISSN
1367-4803
DOI
10.1093/bioinformatics/14.2.144
URI
http://hdl.handle.net/10203/72992
Appears in Collection
RIMS Journal Papers
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