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138
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ISMB
1993
15 years 4 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
2005
114views more  BMCBI 2005»
15 years 3 months ago
Systematic analysis of human kinase genes: a large number of genes and alternative splicing events result in functional and stru
Background: Protein kinases are a well defined family of proteins, characterized by the presence of a common kinase catalytic domain and playing a significant role in many importa...
Luciano Milanesi, Mauro Petrillo, Leandra Sepe, An...
ICPR
2004
IEEE
16 years 4 months ago
Relaxation Labeling Processes for Protein Secondary Structure Prediction
The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...
Giacomo Colle, Marcello Pelillo
127
Voted
RECOMB
2008
Springer
16 years 3 months ago
Fast and Accurate Alignment of Multiple Protein Networks
Comparative analysis of protein networks has proven to be a powerful approach for elucidating network structure and predicting protein function and interaction. A fundamental chall...
Maxim Kalaev, Vineet Bafna, Roded Sharan
ISVC
2007
Springer
15 years 9 months ago
Integrative Geometric-Hashing Approaches to Binding Site Modeling and Ligand-Protein Interaction Prediction
Abstract. The function of a protein is dependent on whether and how it can interact with various ligands. Therefore, an accurate prediction of protein-ligand interactions is paramo...
Joanna Lipinski-Kruszka, Rahul Singh