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» A Hidden Markov Model for Predicting Transmembrane Helices i...
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NAR
2006
119views more  NAR 2006»
13 years 7 months ago
HHsenser: exhaustive transitive profile search using HMM-HMM comparison
HHsenser is the first server to offer exhaustive intermediate profile searches, which it combines with pairwise comparison of hidden Markov models. Starting from a single protein ...
Johannes Söding, Michael Remmert, Andreas Bie...
BMCBI
2005
149views more  BMCBI 2005»
13 years 7 months ago
The PD-(D/E)XK superfamily revisited: identification of new members among proteins involved in DNA metabolism and functional pre
Background: The PD-(D/E)XK nuclease superfamily, initially identified in type II restriction endonucleases and later in many enzymes involved in DNA recombination and repair, is o...
Jan Kosinski, Marcin Feder, Janusz M. Bujnicki
BMCBI
2004
108views more  BMCBI 2004»
13 years 7 months ago
Enhanced protein domain discovery using taxonomy
Background: It is well known that different species have different protein domain repertoires, and indeed that some protein domains are kingdom specific. This information has not ...
Lachlan James M. Coin, Alex Bateman, Richard Durbi...
BMCBI
2010
123views more  BMCBI 2010»
13 years 2 months ago
Predicting conserved protein motifs with Sub-HMMs
Background: Profile HMMs (hidden Markov models) provide effective methods for modeling the conserved regions of protein families. A limitation of the resulting domain models is th...
Kevin Horan, Christian R. Shelton, Thomas Girke
BMCBI
2007
142views more  BMCBI 2007»
13 years 7 months ago
Support Vector Machine-based method for predicting subcellular localization of mycobacterial proteins using evolutionary informa
Background: In past number of methods have been developed for predicting subcellular location of eukaryotic, prokaryotic (Gram-negative and Gram-positive bacteria) and human prote...
Mamoon Rashid, Sudipto Saha, Gajendra P. S. Raghav...