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BMCBI
2006
159views more  BMCBI 2006»
13 years 5 months ago
Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures
Background: The structure of proteins may change as a result of the inherent flexibility of some protein regions. We develop and explore probabilistic machine learning methods for...
Mikael Bodén, Zheng Yuan, Timothy L. Bailey
AE
2005
Springer
13 years 10 months ago
Incorporating Knowledge of Secondary Structures in a L-System-Based Encoding for Protein Folding
An encoding scheme for protein folding on lattice models, inspired by parametric L-systems, was proposed. The encoding incorporates problem domain knowledge in the form of predesig...
Gabriela Ochoa, Gabi Escuela, Natalio Krasnogor
BMCBI
2008
137views more  BMCBI 2008»
13 years 5 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
JCB
2000
146views more  JCB 2000»
13 years 4 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
BIBE
2003
IEEE
133views Bioinformatics» more  BIBE 2003»
13 years 10 months ago
A Computational Pipeline for Protein Structure Prediction and Analysis at Genome Scale
The tertiary (3D) structure of a protein contains the essential information for understanding the biological function of the protein at the molecular and cellular levels. Traditio...
Manesh J. Shah, Sergei Passovets, Dongsup Kim, Kyl...