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» Bayesian Segmentation of Protein Secondary Structure
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ISMIS
2005
Springer
13 years 10 months ago
A Machine Text-Inspired Machine Learning Approach for Identification of Transmembrane Helix Boundaries
In this paper, we adapt a statistical learning approach, inspired by automated topic segmentation techniques in speech-recognized documents to the challenging protein segmentation ...
Betty Yee Man Cheng, Jaime G. Carbonell, Judith Kl...
BMCBI
2004
73views more  BMCBI 2004»
13 years 5 months ago
Use of a structural alphabet for analysis of short loops connecting repetitive structures
Background: Because loops connect regular secondary structures, analysis of the former depends directly on the definition of the latter. The numerous assignment methods, however, ...
Laurent Fourrier, Cristina Benros, Alexandre G. de...
JCB
2006
215views more  JCB 2006»
13 years 5 months ago
Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs)
Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e., segmentation con...
Yan Liu 0002, Jaime G. Carbonell, Peter Weigele, V...
BMCBI
2008
71views more  BMCBI 2008»
13 years 5 months ago
A tale of two symmetrical tails: Structural and functional characteristics of palindromes in proteins
Background: It has been previously shown that palindromic sequences are frequently observed in proteins. However, our knowledge about their evolutionary origin and their possible ...
Armita Sheari, Mehdi Kargar, Ali Katanforoush, Sha...
ISMB
1993
13 years 6 months ago
Representation for Discovery of Protein Motifs
There are several dimensions and levels of complexity in which information on protein motifs may be available. For example, onedimensional sequence motifs may be associated with s...
Darrell Conklin, Suzanne Fortier, Janice I. Glasgo...