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BMCBI
2007
113views more  BMCBI 2007»
13 years 7 months ago
Learning biophysically-motivated parameters for alpha helix prediction
Background: Our goal is to develop a state-of-the-art protein secondary structure predictor, with an intuitive and biophysically-motivated energy model. We treat structure predict...
Blaise Gassend, Charles W. O'Donnell, William Thie...
BMCBI
2004
138views more  BMCBI 2004»
13 years 7 months ago
Constraint Logic Programming approach to protein structure prediction
Background: The protein structure prediction problem is one of the most challenging problems in biological sciences. Many approaches have been proposed using database information ...
Alessandro Dal Palù, Agostino Dovier, Feder...
JCB
2000
146views more  JCB 2000»
13 years 7 months ago
Bayesian Segmentation of Protein Secondary Structure
We present a novel method for predicting the secondary structure of a protein from its amino acid sequence. Most existing methods predict each position in turn based on a local wi...
Scott C. Schmidler, Jun S. Liu, Douglas L. Brutlag
ISMB
1994
13 years 9 months ago
Stochastic Motif Extraction Using Hidden Markov Model
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
Yukiko Fujiwara, Minoru Asogawa, Akihiko Konagaya
BMCBI
2010
177views more  BMCBI 2010»
13 years 7 months ago
Modular composition predicts kinase/substrate interactions
Background: Phosphorylation events direct the flow of signals and metabolites along cellular protein networks. Current annotations of kinase-substrate binding events are far from ...
Yichuan Liu, Aydin Tozeren