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» Mining Protein Sequences for Motifs
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BMCBI
2004
177views more  BMCBI 2004»
14 years 9 months ago
Gapped alignment of protein sequence motifs through Monte Carlo optimization of a hidden Markov model
Background: Certain protein families are highly conserved across distantly related organisms and belong to large and functionally diverse superfamilies. The patterns of conservati...
Andrew F. Neuwald, Jun S. Liu
ISMB
1994
14 years 11 months ago
Stochastic Motif Extraction Using Hidden Markov Model
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
Yukiko Fujiwara, Minoru Asogawa, Akihiko Konagaya
BMCBI
2004
77views more  BMCBI 2004»
14 years 9 months ago
A structural study for the optimisation of functional motifs encoded in protein sequences
Background: A large number of PROSITE patterns select false positives and/or miss known true positives. It is possible that
Allegra Via, Manuela Helmer-Citterich
NAR
2006
53views more  NAR 2006»
14 years 9 months ago
MEME: discovering and analyzing DNA and protein sequence motifs
Timothy L. Bailey, Nadya Williams, Chris Misleh, W...
CIBCB
2005
IEEE
15 years 3 months ago
Predicting Peroxisomal Proteins
— PTS1 proteins are peroxisomal matrix proteins that have a well conserved targeting motif at the C-terminal end. However, this motif is present in many non peroxisomal proteins ...
John Hawkins, Mikael Bodén