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» Structured Sparsity in Structured Prediction
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BMCBI
2007
147views more  BMCBI 2007»
15 years 4 months ago
Improved residue contact prediction using support vector machines and a large feature set
Background: Predicting protein residue-residue contacts is an important 2D prediction task. It is useful for ab initio structure prediction and understanding protein folding. In s...
Jianlin Cheng, Pierre Baldi
BMCBI
2007
142views more  BMCBI 2007»
15 years 4 months ago
Predicting and improving the protein sequence alignment quality by support vector regression
Background: For successful protein structure prediction by comparative modeling, in addition to identifying a good template protein with known structure, obtaining an accurate seq...
Minho Lee, Chan-seok Jeong, Dongsup Kim
BMCBI
2010
123views more  BMCBI 2010»
15 years 4 months ago
A new protein binding pocket similarity measure based on comparison of clouds of atoms in 3D: application to ligand prediction
Background: Predicting which molecules can bind to a given binding site of a protein with known 3D structure is important to decipher the protein function, and useful in drug desi...
Brice Hoffmann, Mikhail Zaslavskiy, Jean-Philippe ...
NAR
2008
116views more  NAR 2008»
15 years 4 months ago
SuperPred: drug classification and target prediction
The drug classification scheme of the World Health Organization (WHO) [Anatomical Therapeutic Chemical (ATC)-code] connects chemical classification and therapeutic approach. It is...
Mathias Dunkel, Stefan Günther, Jessica Ahmed...
BMCBI
2011
14 years 8 months ago
GPCR-SSFE: A comprehensive database of G-protein-coupled receptor template predictions and homology models
Background: G protein-coupled receptors (GPCRs) transduce a wide variety of extracellular signals to within the cell and therefore have a key role in regulating cell activity and ...
Catherine L. Worth, Annika Kreuchwig, Gunnar Klein...