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BMCBI
2008
128views more  BMCBI 2008»
14 years 11 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»
14 years 11 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
NIPS
2007
15 years 1 months ago
Feature Selection Methods for Improving Protein Structure Prediction with Rosetta
Rosetta is one of the leading algorithms for protein structure prediction today. It is a Monte Carlo energy minimization method requiring many random restarts to find structures ...
Ben Blum, Michael I. Jordan, David Kim, Rhiju Das,...
SIGIR
2004
ACM
15 years 5 months ago
Context sensitive vocabulary and its application in protein secondary structure prediction
Protein secondary structure prediction is an important step towards understanding the relation between protein sequence and structure. However, most current prediction methods use...
Yan Liu, Jaime G. Carbonell, Judith Klein-Seethara...
EVOW
2012
Springer
13 years 7 months ago
Multiobjectivizing the HP Model for Protein Structure Prediction
Abstract. The hydrophobic-polar (HP) model for protein structure preabstracts the fact that hydrophobic interactions are a dominant force in the protein folding process. This model...
Mario Garza-Fabre, Eduardo Rodriguez-Tello, Gregor...