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» Agent-based protein structure prediction
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APBC
2004
166views Bioinformatics» more  APBC 2004»
15 years 1 months ago
THEMATICS is Effective for Active Site Prediction in Comparative Model Structures
THEMATICS (Theoretical Microscopic Titration Curves) is a simple, reliable computational predictor of the active sites of enzymes from structure. Our method, based on well-establi...
Ihsan A. Shehadi, Alper Uzun, Leonel F. Murga, Val...
MLMTA
2007
15 years 1 months ago
Prediction of Protein Secondary Structures with a Novel Kernel Density Estimator
- Though prediction of protein secondary structures has been an active research issue in bioinformatics for quite a few years and many approaches have been proposed, a new challeng...
Yen-Jen Oyang, Darby Tien-Hao Chang, Yu-Yen Ou, Ha...
CEC
2005
IEEE
15 years 5 months ago
Evolving hidden Markov models for protein secondary structure prediction
New results are presented for the prediction of secondary structure information for protein sequences using Hidden Markov Models (HMMs) evolved using a Genetic Algorithm (GA). We a...
Kyoung-Jae Won, Thomas Hamelryck, Adam Prügel...
JCC
2008
117views more  JCC 2008»
14 years 11 months ago
Prediction of protein structural class using novel evolutionary collocation-based sequence representation
: Knowledge of structural classes is useful in understanding of folding patterns in proteins. Although existing structural class prediction methods applied virtually all state-of-t...
Ke Chen 0003, Lukasz A. Kurgan, Jishou Ruan
BMCBI
2008
137views more  BMCBI 2008»
14 years 12 months ago
A dynamic Bayesian network approach to protein secondary structure prediction
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
Xin-Qiu Yao, Huaiqiu Zhu, Zhen-Su She