An HMM model for coiled-coil domains and a comparison with PSSM-based predictions.

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Abstract

Large-scale sequence data require methods for the automated annotation of protein domains. Many of the predictive methods are based either on a Position Specific Scoring Matrix (PSSM) of fixed length or on a window-less Hidden Markov Model (HMM). The performance of the two approaches is tested for Coiled-Coil Domains (CCDs). The prediction of CCDs is used frequently, and its optimization seems worthwhile.

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Journal

Journal ID (iso-abbrev): Bioinformatics

Title: Bioinformatics (Oxford, England)

Publisher: Oxford University Press (OUP)

ISSN: 1367-4803

ISSN (Print): 1367-4803

Publication date (Electronic): Apr 2002

Volume: 18

Issue: 4

Affiliations

[1 ] Genetics and Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria 3050, Australia. delorenzi@wehi.edu.au

Article

DOI: 10.1093/bioinformatics/18.4.617

PubMed ID: 12016059

SO-VID: 0394ea80-fa1e-4bf6-bb66-db32960a3c5b

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