Composition Profiler: a tool for discovery and visualization of amino acid composition differences

Date
2007-06-19
Language
American English
Embargo Lift Date
Committee Members
Degree
Degree Year
Department
Grantor
Journal Title
Journal ISSN
Volume Title
Found At
BioMed Central
Abstract

Background Composition Profiler is a web-based tool for semi-automatic discovery of enrichment or depletion of amino acids, either individually or grouped by their physico-chemical or structural properties.

Results The program takes two samples of amino acids as input: a query sample and a reference sample. The latter provides a suitable background amino acid distribution, and should be chosen according to the nature of the query sample, for example, a standard protein database (e.g. SwissProt, PDB), a representative sample of proteins from the organism under study, or a group of proteins with a contrasting functional annotation. The results of the analysis of amino acid composition differences are summarized in textual and graphical form.

Conclusion As an exploratory data mining tool, our software can be used to guide feature selection for protein function or structure predictors. For classes of proteins with significant differences in frequencies of amino acids having particular physico-chemical (e.g. hydrophobicity or charge) or structural (e.g. α helix propensity) properties, Composition Profiler can be used as a rough, light-weight visual classifier.

Description
item.page.description.tableofcontents
item.page.relation.haspart
Cite As
Vacic, V., Uversky, V.N., Dunker, A.K. et al. Composition Profiler: a tool for discovery and visualization of amino acid composition differences. BMC Bioinformatics 8, 211 (2007). https://doi.org/10.1186/1471-2105-8-211
ISSN
Publisher
Series/Report
Sponsorship
Major
Extent
Identifier
Relation
Journal
BMC Bioinformatics
Source
Publisher
Alternative Title
Type
Article
Number
Volume
Conference Dates
Conference Host
Conference Location
Conference Name
Conference Panel
Conference Secretariat Location
Version
Final published version
Full Text Available at
This item is under embargo {{howLong}}