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ISMB
1994
13 years 9 months ago
Predicting Location and Structure Of beta-Sheet Regions Using Stochastic Tree Grammars
We describe and demonstrate the effectiveness of a method of predicting protein secondary structures, sheet regions in particular, using a class of stochastic tree grammars as rep...
Hiroshi Mamitsuka, Naoki Abe
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...
BMCBI
2005
92views more  BMCBI 2005»
13 years 7 months ago
Predicting functional sites with an automated algorithm suitable for heterogeneous datasets
Background: In a previous report (La et al., Proteins, 2005), we have demonstrated that the identification of phylogenetic motifs, protein sequence fragments conserving the overal...
David La, Dennis R. Livesay
LATIN
2004
Springer
14 years 28 days ago
Combinatorial Problems on Strings with Applications to Protein Folding
We consider the problem of protein folding in the HP model on the 3D square lattice. This problem is combinatorially equivalent to folding a string of 0’s and 1’s so that the s...
Alantha Newman, Matthias Ruhl
ICDE
2010
IEEE
199views Database» more  ICDE 2010»
14 years 2 months ago
Mining mutation chains in biological sequences
— The increasing infectious disease outbreaks has led to a need for new research to better understand the disease’s origins, epidemiological features and pathogenicity caused b...
Chang Sheng, Wynne Hsu, Mong-Li Lee, Joo Chuan Ton...