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BMCBI
2006
159views more  BMCBI 2006»
13 years 7 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
14 years 1 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 7 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 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
BIBE
2003
IEEE
133views Bioinformatics» more  BIBE 2003»
14 years 23 days 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...