NDLI: Identification of Conserved Domain Combinations in S.cerevisiae Proteins

Content Provider	IEEE Xplore Digital Library
Author	Suk Hoon Jung Hee-Young Hur Desok Kim Dong-Soo Han
Copyright Year	2007
Description	Author affiliation: Inf. & Commun. Univ., Daejeon (Suk Hoon Jung; Hee-Young Hur; Desok Kim; Dong-Soo Han)
Abstract	In this paper, we propose a formulated method for the analysis of conserved domain combinations and report an overview of domain combinations by identifying domain patterns and analyzing their functional annotations. The proposed method measures co-occurrence frequency and mutual dependency of domains in a domain combination using association rules. The method is useful to estimate the meaningfulness of a given domain combination in terms of conservation. Using the method, we extracted domain patterns in S.cerevisiae proteins and investigated GO term annotations of the domains. According to the investigation, domains in S.cerevisiae proteins are turned out to form patterns in which the members of the patterns are highly affiliated to one another. Also, extracted patterns are revealed to have a tendency of being associated with molecular functions.
Starting Page	14
Ending Page	20
File Size	214024
Page Count	7
File Format	PDF
ISBN	9781424415090
DOI	10.1109/BIBE.2007.4375539
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Protein engineering Association rules Information analysis Pattern analysis Frequency measurement Prediction methods Telephony Evolution (biology) Protein sequence Data mining
Content Type	Text
Resource Type	Article

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