Title :
Identification of Conserved Domain Combinations in S.cerevisiae Proteins
Author :
Jung, Suk Hoon ; Hur, Hee-Young ; Kim, Desok ; Han, Dong-Soo
Author_Institution :
Inf. & Commun. Univ., Daejeon
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.
Keywords :
biology computing; data mining; genetics; learning (artificial intelligence); microorganisms; molecular biophysics; pattern recognition; proteins; GO term annotation; S.cerevisiae proteins; association rule; conserved domain combination identification; domain pattern extraction; functional annotation analysis; gene ontology; molecular function; Association rules; Data mining; Evolution (biology); Frequency measurement; Information analysis; Pattern analysis; Prediction methods; Protein engineering; Protein sequence; Telephony;
Conference_Titel :
Bioinformatics and Bioengineering, 2007. BIBE 2007. Proceedings of the 7th IEEE International Conference on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-1509-0
DOI :
10.1109/BIBE.2007.4375539