Comparative homology agreement search: an effective combination of homology-search methods.

Abstract:

:Many methods have been developed to search for homologous members of a protein family in databases, and the reliability of results and conclusions may be compromised if only one method is used, neglecting the others. Here we introduce a general scheme for combining such methods. Based on this scheme, we implemented a tool called comparative homology agreement search (chase) that integrates different search strategies to obtain a combined "E value." Our results show that a consensus method integrating distinct strategies easily outperforms any of its component algorithms. More specifically, an evaluation based on the Structural Classification of Proteins database reveals that, on average, a coverage of 47% can be obtained in searches for distantly related homologues (i.e., members of the same superfamily but not the same family, which is a very difficult task), accepting only 10 false positives, whereas the individual methods obtain a coverage of 28-38%.

authors

Alam I,Dress A,Rehmsmeier M,Fuellen G

doi

10.1073/pnas.0405612101

keywords:

subject

Has Abstract

pub_date

2004-09-21 00:00:00

pages

13814-9

issue

38

eissn

0027-8424

issn

1091-6490

pii

0405612101

journal_volume

101

pub_type

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