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» Protein secondary structure prediction using neural networks
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ISMB
1993
13 years 6 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
BMCBI
2008
123views more  BMCBI 2008»
13 years 5 months ago
Validation of protein models by a neural network approach
Background: The development and improvement of reliable computational methods designed to evaluate the quality of protein models is relevant in the context of protein structure re...
Paolo Mereghetti, Maria Luisa Ganadu, Elena Papale...
EUROGP
2004
Springer
105views Optimization» more  EUROGP 2004»
13 years 10 months ago
Evolved Matrix Operations for Post-processing Protein Secondary Structure Predictions
Predicting the three-dimensional structure of proteins is a hard problem, so many have opted instead to predict the secondary structural state (usually helix, strand or coil) of e...
Varun Aggarwal, Robert M. MacCallum
BMCBI
2006
112views more  BMCBI 2006»
13 years 5 months ago
Distill: a suite of web servers for the prediction of one-, two- and three-dimensional structural features of proteins
Background: We describe Distill, a suite of servers for the prediction of protein structural features: secondary structure; relative solvent accessibility; contact density; backbo...
Davide Baù, Alberto J. M. Martin, Catherine...
BMCBI
2011
12 years 9 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...