Sciweavers

107 search results - page 3 / 22
» Protein Fold Recognition using a Structural Hidden Markov Mo...
Sort
View
BMCBI
2006
143views more  BMCBI 2006»
13 years 7 months ago
Application of protein structure alignments to iterated hidden Markov model protocols for structure prediction
Background: One of the most powerful methods for the prediction of protein structure from sequence information alone is the iterative construction of profile-type models. Because ...
Eric D. Scheeff, Philip E. Bourne
BMCBI
2006
101views more  BMCBI 2006»
13 years 7 months ago
Local protein structure prediction using discriminative models
Background: In recent years protein structure prediction methods using local structure information have shown promising improvements. The quality of new fold predictions has risen...
Oliver Sander, Ingolf Sommer, Thomas Lengauer
BMCBI
2004
111views more  BMCBI 2004»
13 years 7 months ago
The Hotdog fold: wrapping up a superfamily of thioesterases and dehydratases
Background: The Hotdog fold was initially identified in the structure of Escherichia coli FabA and subsequently in 4-hydroxybenzoyl-CoA thioesterase from Pseudomonas sp. strain CB...
Shane C. Dillon, Alex Bateman
BMCBI
2010
101views more  BMCBI 2010»
13 years 7 months ago
Hidden Markov model speed heuristic and iterative HMM search procedure
Background: Profile hidden Markov models (profile-HMMs) are sensitive tools for remote protein homology detection, but the main scoring algorithms, Viterbi or Forward, require con...
L. Steven Johnson, Sean R. Eddy, Elon Portugaly
ICPR
2008
IEEE
14 years 1 months ago
Embedding HMM's-based models in a Euclidean space: The topological hidden Markov models
One of the major limitations of HMM-based models is the inability to cope with topology: When applied to a visible observation (VO) sequence, HMM-based techniques have difficulty ...
Djamel Bouchaffra