DocumentCode :
1554457
Title :
Automatic pattern embedding in protein structure models
Author :
Bienkowska, Jadwiga ; He, Hongxian ; Smith, Temple F.
Author_Institution :
Dept. of Biomed. Eng., Boston Univ., MA, USA
Volume :
16
Issue :
6
fYear :
2001
Firstpage :
21
Lastpage :
25
Abstract :
This article describes an implementation of a set of rules for automatically embedding a minimal functional sequence pattern in a structural hidden Markov model. The final product is a library of wide ranging fold models with encoded information about the functional families.
Keywords :
biology computing; hidden Markov models; molecular biophysics; molecular configurations; pattern classification; proteins; scientific information systems; sequences; automatically embedded minimal functional sequence pattern; encoded information; fold model library; functional families; protein structure models; structural hidden Markov model; Amino acids; Bayesian methods; Helium; Hidden Markov models; Length measurement; Libraries; Prediction methods; Predictive models; Proteins; State-space methods;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/5254.972074
Filename :
972074
Link To Document :
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