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» Semi-supervised protein classification using cluster kernels
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ICPR
2008
IEEE
16 years 29 days ago
Fast protein homology and fold detection with sparse spatial sample kernels
In this work we present a new string similarity feature, the sparse spatial sample (SSS). An SSS is a set of short substrings at specific spatial displacements contained in the or...
Pai-Hsi Huang, Pavel P. Kuksa, Vladimir Pavlovic
BMCBI
2010
107views more  BMCBI 2010»
14 years 6 months ago
Interaction prediction and classification of PDZ domains
Background: PDZ domain is a well-conserved, structural protein domain found in hundreds of signaling proteins that are otherwise unrelated. PDZ domains can bind to the C-terminal ...
Sibel Kalyoncu, Ozlem Keskin, Attila Gürsoy
ISMB
1993
15 years 1 months ago
Computationally Efficient Cluster Representation in Molecular Sequence Megaclassification
Molecular sequence megaclassification is a technique for automated protein sequence analysis and annotation. Implementation of the method has been limited by the need to store and...
David J. States, Nomi L. Harris, Lawrence Hunter
BMCBI
2007
134views more  BMCBI 2007»
14 years 12 months ago
Automatic generation of 3D motifs for classification of protein binding sites
Background: Since many of the new protein structures delivered by high-throughput processes do not have any known function, there is a need for structure-based prediction of prote...
Jean-Christophe Nebel, Pawel Herzyk, David R. Gilb...
BMCBI
2007
116views more  BMCBI 2007»
14 years 11 months ago
Linear array of conserved sequence motifs to discriminate protein subfamilies: study on pyridine nucleotide-disulfide reductases
Background: The pyridine nucleotide disulfide reductase (PNDR) is a large and heterogeneous protein family divided into two classes (I and II), which reflect the divergent evoluti...
César L. Avila, Viviana A. Rapisarda, Ricar...