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» Optimizing Complex Loss Functions in Structured Prediction
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BMCBI
2010
112views more  BMCBI 2010»
13 years 10 months ago
Orientation-dependent backbone-only residue pair scoring functions for fixed backbone protein design
Background: Empirical scoring functions have proven useful in protein structure modeling. Most such scoring functions depend on protein side chain conformations. However, backbone...
Andrew J. Bordner
BMCBI
2008
105views more  BMCBI 2008»
13 years 10 months ago
Improving the prediction of mRNA extremities in the parasitic protozoan Leishmania
Background: Leishmania and other members of the Trypanosomatidae family diverged early on in eukaryotic evolution and consequently display unique cellular properties. Their appare...
Martin Smith, Mathieu Blanchette, Barbara Papadopo...
GECCO
2006
Springer
167views Optimization» more  GECCO 2006»
14 years 1 months ago
Genomic computing networks learn complex POMDPs
A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
David J. Montana, Eric Van Wyk, Marshall Brinn, Jo...
JCC
2008
99views more  JCC 2008»
13 years 8 months ago
Assessment of programs for ligand binding affinity prediction
: The prediction of the binding free energy between a ligand and a protein is an important component in the virtual screening and lead optimization of ligands for drug discovery. T...
Ryangguk Kim, Jeffrey Skolnick
BMCBI
2008
112views more  BMCBI 2008»
13 years 10 months ago
A simplified approach to disulfide connectivity prediction from protein sequences
Background: Prediction of disulfide bridges from protein sequences is useful for characterizing structural and functional properties of proteins. Several methods based on differen...
Marc Vincent, Andrea Passerini, Matthieu Labb&eacu...