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» Classifying protein sequences using hydropathy blocks
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CEC
2005
IEEE
14 years 1 months ago
Evolving hidden Markov models for protein secondary structure prediction
New results are presented for the prediction of secondary structure information for protein sequences using Hidden Markov Models (HMMs) evolved using a Genetic Algorithm (GA). We a...
Kyoung-Jae Won, Thomas Hamelryck, Adam Prügel...
LREC
2008
155views Education» more  LREC 2008»
13 years 9 months ago
Using Reordering in Statistical Machine Translation based on Alignment Block Classification
Statistical Machine Translation (SMT) is based on alignment models which learn from bilingual corpora the word correspondences between source and target language. These models are...
Marta R. Costa-Jussà, José A. R. Fon...
BMCBI
2008
110views more  BMCBI 2008»
13 years 7 months ago
Predikin and PredikinDB: a computational framework for the prediction of protein kinase peptide specificity and an associated da
Background: We have previously described an approach to predicting the substrate specificity of serine-threonine protein kinases. The method, named Predikin, identifies key conser...
Neil F. W. Saunders, Ross I. Brinkworth, Thomas Hu...
BMCBI
2008
87views more  BMCBI 2008»
13 years 7 months ago
Identification of deleterious non-synonymous single nucleotide polymorphisms using sequence-derived information
Background: As the number of non-synonymous single nucleotide polymorphisms (nsSNPs), also known as single amino acid polymorphisms (SAPs), increases rapidly, computational method...
Jing Hu, Changhui Yan
IJDMB
2008
128views more  IJDMB 2008»
13 years 7 months ago
Protein homology detection with biologically inspired features and interpretable statistical models
: Computational classification of proteins using methods such as string kernels and Fisher-SVM has demonstrated great success. However, the resulting models do not offer an immedia...
Pai-Hsi Huang, Vladimir Pavlovic