NDLI: Conserved Domain Combination Identification in Human Proteins

Content Provider	IEEE Xplore Digital Library
Author	Suk Hoon Jung Desok Kim Dong-Soo Han
Copyright Year	2008
Description	Author affiliation: Inf. & Commun. Univ., Daejeon (Suk Hoon Jung; Desok Kim; Dong-Soo Han)
Abstract	In this paper, we propose a method for the analysis of conservation of domain combinations in proteins. Using the method, we extract conserved domain combinations in Homo sapience proteome and examine their GO term annotations in order to understand the co-evolution of domains in a proteome. Unlike conventional methods, which use cooccurrence frequency for evolutionary analysis of domains, the proposed method measures mutual dependency of domains in proteins as well. According to the results, domains in Homo sapience proteome turn out to form patterns whose members are highly affiliated to one another. Besides GO term analysis shows that extracted patterns have a tendency of being associated with molecular functions, and molecular functions are more related with mutual dependency than co-occurrence frequency of domains. Those results indicate that the proposed method adopting mutual dependency outperforms conventional methods in terms of finding domain combinations conserved through evolution for molecular functional collaboration.
Starting Page	802
Ending Page	807
File Size	280765
Page Count	6
File Format	PDF
ISBN	9780769530963
DOI	10.1109/WAINA.2008.228
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-25
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Protein engineering Association rule Humans Frequency measurement Data mining Association rules Frequency domain analysis Evolution (biology) Conserved domain combination Collaboration Domain combination Pattern analysis Assembly
Content Type	Text
Resource Type	Article

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