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» Predicting conserved protein motifs with Sub-HMMs
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ISMB
1998
13 years 11 months ago
Bayesian Protein Family Classifier
A Bayesian procedure for the simultaneous alignment and classification of sequences into subclasses is described. This Gibbs sampling algorithm iterates between an alignment step ...
Kunbin Qu, Lee Ann McCue, Charles E. Lawrence
BMCBI
2010
108views more  BMCBI 2010»
13 years 10 months ago
An intuitionistic approach to scoring DNA sequences against transcription factor binding site motifs
Background: Transcription factors (TFs) control transcription by binding to specific regions of DNA called transcription factor binding sites (TFBSs). The identification of TFBSs ...
Fernando Garcia-Alcalde, Armando Blanco, Adrian J....
BMCBI
2007
144views more  BMCBI 2007»
13 years 9 months ago
Assessing the ability of sequence-based methods to provide functional insight within membrane integral proteins: a case study an
Background: Efforts to predict functional sites from globular proteins is increasingly common; however, the most successful of these methods generally require structural insight. ...
Dennis R. Livesay, Patrick D. Kidd, Sepehr Eskanda...
BMCBI
2006
129views more  BMCBI 2006»
13 years 9 months ago
BIPAD: A web server for modeling bipartite sequence elements
Background: Many dimeric protein complexes bind cooperatively to families of bipartite nucleic acid sequence elements, which consist of pairs of conserved half-site sequences sepa...
Chengpeng Bi, Peter K. Rogan
CIBCB
2007
IEEE
14 years 1 months ago
Prediction of Enzyme Catalytic Sites from Sequence Using Neural Networks
The accurate prediction of enzyme catalytic sites remains an open problem in bioinformatics. Recently, several structure-based methods have become popular; however, few robust seq...
Swati Pande, Amar Raheja, Dennis R. Livesay