Automated detection of remote homology.

Sabine Dietmann, Narcis Fernandez-Fuentes, Liisa Holm

Journal: Current opinion in structural biology 2003;12(3):362-7

PMID: 12127456

Full Text on Elsevier Science View on PubMed

Abstract

The classification of a newly identified protein as a member of a superfamily is important for focusing experiments on its most likely functions. Such classification, often performed by hand, has now been fully automated. This sophisticated new approach takes into account not only alignment scores but also a number of other computable attributes, such as functional sites deduced from sequence conservation patterns.

Address: Structural Genomics Group, EMBL-EBI Research Programme, Cambridge CB10 1SD, UK.

DOI: 10.1016/s0959-440x(02)00332-9

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MeSH Terms: Automation, Computational Biology, Databases, Protein, Evolution, Molecular, Multigene Family, Proteins, Sequence Analysis, DNA, Sequence Homology, Sequence Homology, Amino Acid