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CEC
2005
IEEE
14 years 2 months ago
Evolving hidden Markov models for protein secondary structure prediction
New results are presented for the prediction of secondary structure information for protein sequences using Hidden Markov Models (HMMs) evolved using a Genetic Algorithm (GA). We a...
Kyoung-Jae Won, Thomas Hamelryck, Adam Prügel...
CEC
2009
IEEE
14 years 3 months ago
Evolutionary design of the energy function for protein structure prediction
— Automatic protein structure predictors use the notion of energy to guide the search towards good candidate structures. The energy functions used by the state-of-the-art predict...
Pawel Widera, Jonathan M. Garibaldi, Natalio Krasn...
CEC
2011
IEEE
12 years 8 months ago
Comparing alternative energy functions for the HP model of protein structure prediction
Abstract—Protein structure prediction is the problem of finding the functional conformation of a protein given only its amino uence. The HP lattice model is an abstract formulat...
Mario Garza-Fabre, Eduardo Rodriguez-Tello, Gregor...
ICDM
2007
IEEE
131views Data Mining» more  ICDM 2007»
14 years 3 months ago
Characterizing RNA Secondary-Structure Features and Their Effects on Splice-Site Prediction
— RNA molecules are distinguished by their sequence composition and by their three-dimensional shape, called the secondary structure. The secondary structure of a pre-mRNA sequen...
Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur
ISMB
1993
13 years 10 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