Systems support for scalable data mining
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
A Bi-Recursive Neural Network Architecture for the Prediction of Protein Coarse Contact Maps
CSB '02 Proceedings of the IEEE Computer Society Conference on Bioinformatics
A similarity matrix-based hybrid algorithm for the contact map overlaps problem
Computers in Biology and Medicine
A branch-and-reduce algorithm for the contact map overlap problem
RECOMB'06 Proceedings of the 10th annual international conference on Research in Computational Molecular Biology
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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 (HMM) 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.