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APBC
2004
123views Bioinformatics» more  APBC 2004»
13 years 6 months ago
Empirical Knowledge and Genetic Algorithms for Selection of Amide I Frequencies in Protein Secondary Structure Prediction
Here we investigate an extension of a previously suggested "automatic amide I frequency selection procedure" where we introduce an additional criterion utilizing empiric...
Joachim A. Hering, Peter R. Innocent, Parvez I. Ha...
BMCBI
2010
229views more  BMCBI 2010»
13 years 4 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
BMCBI
2004
138views more  BMCBI 2004»
13 years 4 months ago
Constraint Logic Programming approach to protein structure prediction
Background: The protein structure prediction problem is one of the most challenging problems in biological sciences. Many approaches have been proposed using database information ...
Alessandro Dal Palù, Agostino Dovier, Feder...
BMCBI
2010
163views more  BMCBI 2010»
13 years 4 months ago
Reduced representation of protein structure: implications on efficiency and scope of detection of structural similarity
Background: Computational comparison of two protein structures is the starting point of many methods that build on existing knowledge, such as structure modeling (including modeli...
Zong Hong Zhang, Hwee Kuan Lee, Ivana Mihalek
ISMB
1993
13 years 5 months ago
Protein Structure Prediction: Selecting Salient Features from Large Candidate Pools
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
Kevin J. Cherkauer, Jude W. Shavlik