Mining residue contacts in proteins using local structure predictions

Authors:
M. J. Zaki;Shan Jin;C. Bystroff
Affiliations:
Comput. Sci. Dept., Rensselaer Polytech. Inst., Troy, NY, USA;-;-
Venue:
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Year:
2003

Citing 0
Cited 3

Behavior detection using confidence intervals of hidden Markov models

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Application of combining classifiers using dynamic weights to the protein secondary structure prediction – comparative analysis of fusion methods

ISBMDA'06 Proceedings of the 7th international conference on Biological and Medical Data Analysis
Protein contact map prediction using committee machine approach

International Journal of Data Mining and Bioinformatics

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we develop data mining techniques to predict 3D contact potentials among protein residues (or amino acids) based on the hierarchical nucleation-propagation model of protein folding. We apply a hybrid approach, using a hidden Markov model to extract folding initiation sites, and then apply association mining to discover contact potentials. The new hybrid approach achieves accuracy results better than those reported previously.