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Mining residue contacts in proteins using local structure predictions
Zaki, M.J. Shan Jin Bystroff, C.
Comput. Sci. Dept., Rensselaer Polytech. Inst., Troy, NY, USA;

This paper appears in: Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
Publication Date: Oct. 2003
Volume: 33, Issue: 5
On page(s): 789- 801
ISSN: 1083-4419
INSPEC Accession Number: 7744532
Digital Object Identifier: 10.1109/TSMCB.2003.816916
Current Version Published: 2003-09-23

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.

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