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» Hidden conformations in protein structures
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BMCBI
2005
114views more  BMCBI 2005»
13 years 7 months ago
A new decoding algorithm for hidden Markov models improves the prediction of the topology of all-beta membrane proteins
Background: Structure prediction of membrane proteins is still a challenging computational problem. Hidden Markov models (HMM) have been successfully applied to the problem of pre...
Piero Fariselli, Pier Luigi Martelli, Rita Casadio
BMCBI
2010
88views more  BMCBI 2010»
13 years 7 months ago
Robust probabilistic superposition and comparison of protein structures
Background: Protein structure comparison is a central issue in structural bioinformatics. The standard dissimilarity measure for protein structures is the root mean square deviati...
Martin Mechelke, Michael Habeck
BMCBI
2002
133views more  BMCBI 2002»
13 years 7 months ago
Identification and characterization of subfamily-specific signatures in a large protein superfamily by a hidden Markov model app
Background: Most profile and motif databases strive to classify protein sequences into a broad spectrum of protein families. The next step of such database studies should include ...
Kevin Truong, Mitsuhiko Ikura
SCFBM
2008
92views more  SCFBM 2008»
13 years 7 months ago
CRANKITE: A fast polypeptide backbone conformation sampler
Background: CRANKITE is a suite of programs for simulating backbone conformations of polypeptides and proteins. The core of the suite is an efficient Metropolis Monte Carlo sample...
Alexei A. Podtelezhnikov, David L. Wild
GCB
1997
Springer
74views Biometrics» more  GCB 1997»
13 years 11 months ago
Using constraint programming for lattice protein folding
We present a global search technique for nding the global minimal conformation of a sequence in Dill's HP-lattice model5;6 . The HP-lattice model is a simpli ed model of prot...
Rolf Backofen