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AE
2005
Springer
15 years 7 months ago
An Enhanced Genetic Algorithm for Protein Structure Prediction Using the 2D Hydrophobic-Polar Model
This paper presents an enhanced genetic algorithm for the protein structure prediction problem. A new fitness function, that uses the concept of radius of gyration, is proposed. Al...
Heitor S. Lopes, Marcos P. Scapin
ICCV
2001
IEEE
16 years 3 months ago
Confidence and Curvature Estimation of Curvilinear Structures in 3-D
In this paper we present a new method for estimating confidence and curvature of 3-D curvilinear structures. The gradient structure tensor (GST) models shift-invariance. The eigen...
Peter Bakker, Lucas J. van Vliet, Piet W. Verbeek
BMCBI
2008
121views more  BMCBI 2008»
15 years 2 months ago
A simple and fast heuristic for protein structure comparison
Background: Protein structure comparison is a key problem in bioinformatics. There exist several methods for doing protein comparison, being the solution of the Maximum Contact Ma...
David A. Pelta, Juan Ramón González,...
ICML
2007
IEEE
16 years 2 months ago
Exponentiated gradient algorithms for log-linear structured prediction
Conditional log-linear models are a commonly used method for structured prediction. Efficient learning of parameters in these models is therefore an important problem. This paper ...
Amir Globerson, Terry Koo, Xavier Carreras, Michae...
AINA
2008
IEEE
15 years 8 months ago
Protein Structure Comparison and Alignment Using Residue Contexts
We introduce a method for comparing protein structures using the notion of residue contexts based on protein Cα-atom backbones. The residue context is derived from the set of vec...
Tobias Sayre, Rahul Singh