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Optimizing amino acid groupings for GPCR classification

Davies, Matthew N., Secker, Andrew D., Freitas, Alex A., Clark, Edward, Timmis, Jon, Flower, Darren R. (2008) Optimizing amino acid groupings for GPCR classification. Bioinformatics, 24 (18). pp. 1980-1986. ISSN 1367-4803. (doi:10.1093/bioinformatics/btn382) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:24049)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1093/bioinformatics/btn382

Abstract

Motivation: There is much interest in reducing the complexity inherent in the representation of the 20 standard amino acids within bioinformatics algorithms by developing a so-called reduced alphabet. Although there is no universally applicable residue grouping, there are numerous physiochemical criteria upon which one can base groupings. Local descriptors are a form of alignment-free analysis, the efficiency of which is dependent upon the correct selection of amino acid groupings.

Results: Within the context of G-protein coupled receptor (GPCR) classification, an optimization algorithm was developed, which was able to identify the most efficient grouping when used to generate local descriptors. The algorithm was inspired by the relatively new computational intelligence paradigm of artificial immune systems. A number of amino acid groupings produced by this algorithm were evaluated with respect to their ability to generate local descriptors capable of providing an accurate classification algorithm for GPCRs.

Item Type: Article
DOI/Identification number: 10.1093/bioinformatics/btn382
Uncontrolled keywords: classification, clustering, data mining, bioinformatics
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 29 Mar 2010 12:12 UTC
Last Modified: 16 Nov 2021 10:02 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/24049 (The current URI for this page, for reference purposes)

University of Kent Author Information

Secker, Andrew D..

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Freitas, Alex A..

Creator's ORCID: https://orcid.org/0000-0001-9825-4700
CReDIT Contributor Roles:

Timmis, Jon.

Creator's ORCID:
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