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A hidden Markov model for predicting protein interfaces.

A hidden Markov model for predicting protein interfaces. Research Abstract Details 

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  • A hidden Markov model for predicting protein interfaces. Abstract Text:

    cao nguyenCao Nguyen,katheleen j gardinerKatheleen J Gardiner,krzysztof j ciosKrzysztof J Cios,

    Protein-protein interactions play a defining role in protein function. Identifying the sites of interaction in a protein is a critical problem for understanding its functional mechanisms, as well as for drug design. To predict sites within a protein chain that participate in protein complexes, we have developed a novel method based on the Hidden Markov Model, which combines several biological characteristics of the sequences neighboring a target residue: structural information, accessible surface area, and transition probability among amino acids. We have evaluated the method using 5-fold cross-validation on 139 unique proteins and demonstrated precision of 66% and recall of 61% in identifying interfaces. These results are better than those achieved by other methods used for identification of interfaces.

    A hidden Markov model for predicting protein interfaces. Publishing Authors By Initials

    c nguyenC Nguyen,kj gardinerKJ Gardiner,kj ciosKJ Cios,

    For similar proteins research abstracts see: proteins research

    PUBMED ID PMID:

    MEDLINE DATE:

    A hidden Markov model for predicting protein interfaces. Journal Published:

    PUBLICATION TYPE: Research Support, Non-U.S. Gov

    Journal: Journal of bioinformatics and computational biolog

    VOLUME: 5

    Page Numbers: 739-53

    Journal Abbreviation:

    ISSN: 0219-7200

    DAY: 3

    MONTH: Jun

    YEAR: 2007

    A hidden Markov model for predicting protein interfaces. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 101187344

    A hidden Markov model for predicting protein interfaces. Keywords Mesh Terms:

    KEYWORDS: Proteins

    MESH TERMS: chemistry

    Chemical & Substance for Abstract: A hidden Markov model for predicting protein interfaces. Information

    Substance Name: Proteins

    Registry Number: 0

    Grant and Affiliation Information for A hidden Markov model for predicting protein interfaces.

    AFFILIATION: Department of Computer Science and Engineering, University of Colorado at Denver and Health Sciences, Denver, CO 80217, USA. dcnguyen@ouray.cudenver.edu

    Country: England

    England Research Publication

    AGENCY: United States NICHD

    GRANT: HD49460

    ACRONYM: HD

    MEDLINETA: J Bioinform Comput Biol

    REFSOURCE:

    DATABASENAME:

    ACCESSION NUMBER:

    Number Hits: 0

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