title: Mining residue contacts in proteins using local structure predictions.
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.
authors.affiliation: Comput. Sci. Dept., Rensselaer Polytech. Inst., Troy, NY, USA.
authors.forename: M J
authors.initials: MJ
authors.lastname: Zaki
authors.forename: Shan
authors.initials: S
authors.lastname: Jin
authors.forename: C
authors.initials: C
authors.lastname: Bystroff