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BMCBI
2008
128views more  BMCBI 2008»
13 years 7 months ago
Pairwise covariance adds little to secondary structure prediction but improves the prediction of non-canonical local structure
Background: Amino acid sequence probability distributions, or profiles, have been used successfully to predict secondary structure and local structure in proteins. Profile models ...
Christopher Bystroff, Bobbie-Jo M. Webb-Robertson
BMCBI
2006
101views more  BMCBI 2006»
13 years 7 months ago
Local protein structure prediction using discriminative models
Background: In recent years protein structure prediction methods using local structure information have shown promising improvements. The quality of new fold predictions has risen...
Oliver Sander, Ingolf Sommer, Thomas Lengauer
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
BIRD
2008
Springer
109views Bioinformatics» more  BIRD 2008»
13 years 9 months ago
A Robust Class of Stable Proteins in the 2D HPC Model
The inverse protein folding problem is that of designing an amino acid sequence which has a prescribed native protein fold. This problem arises in drug design where a particular st...
Alireza Hadj Khodabakhshi, Ján Manuch, Aras...
BMCBI
2007
96views more  BMCBI 2007»
13 years 7 months ago
Protein subcellular localization prediction based on compartment-specific features and structure conservation
Motivation: Protein subcellular localization is crucial for genome annotation, protein function prediction, and drug discovery. However, since determining subcellular localization...
Emily Chia-Yu Su, Hua-Sheng Chiu, Allan Lo, Jenn-K...