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BMCBI
2010
123views more  BMCBI 2010»
14 years 10 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 ...
RECOMB
2001
Springer
15 years 10 months ago
Towards predicting coiled-coil protein interactions
Protein-protein interactions play a central role in many cellular functions, and as whole-genome data accumulates, computational methods for predicting these interactions become i...
Mona Singh, Peter S. Kim
BMCBI
2005
116views more  BMCBI 2005»
14 years 9 months ago
SuperLigands - a database of ligand structures derived from the Protein Data Bank
Background: Currently, the PDB contains approximately 29,000 protein structures comprising over 70,000 experimentally determined three-dimensional structures of over 5,000 differe...
Elke Michalsky, Mathias Dunkel, Andrean Goede, Rob...
BMCBI
2011
14 years 1 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...
IJBRA
2008
63views more  IJBRA 2008»
14 years 9 months ago
Protein cavity clustering based on community structure of pocket similarity network
: Functions of a protein are mainly determined by its structure. Surface cavities, also called pockets or clefts, are ordinarily regarded as potentially active sites where the prot...
Zhi-Ping Liu, Ling-Yun Wu, Yong Wang, Xiang-Sun Zh...