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» Multipolar representation of protein structure
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1993
13 years 9 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
PR
2006
84views more  PR 2006»
13 years 7 months ago
Clustering techniques for protein surfaces
Though most approaches to protein comparison are based on their structure, several studies produced evidence of a strict correlation between the surface characteristics of protein...
Lorenzo Baldacci, Matteo Golfarelli, Alessandra Lu...
BMCBI
2007
93views more  BMCBI 2007»
13 years 7 months ago
SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition
Background: Predicting a protein’s structural class from its amino acid sequence is a fundamental problem in computational biology. Much recent work has focused on developing ne...
Iain Melvin, Eugene Ie, Rui Kuang, Jason Weston, W...
GCB
2006
Springer
99views Biometrics» more  GCB 2006»
13 years 11 months ago
Shape Distributions and Protein Similarity
: In this paper we describe a similarity model that provides the objective basis for clustering proteins of similar structure. More specifically, we consider the following variant ...
Stefan Canzar, Jan Remy
BMCBI
2004
208views more  BMCBI 2004»
13 years 7 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein