Mining residue contacts in proteins using local structure predictions

Mining residue contacts in proteins using local structure predictions (2000)

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by Mohammed J. Zaki , Shan Jin , Chris Bystroff

Venue:	In IEEE Int. Symposium on Bioinformatics and Biomedical Engineering
Citations:	17 - 7 self

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@INPROCEEDINGS{Zaki00miningresidue,
    author = {Mohammed J. Zaki and Shan Jin and Chris Bystroff},
    title = {Mining residue contacts in proteins using local structure predictions},
    booktitle = {In IEEE Int. Symposium on Bioinformatics and Biomedical Engineering},
    year = {2000},
    pages = {168--175}
}

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Abstract

In this paper we develop data mining techniques to predict 3D contact potentials among protein residues (or amino acids) based on the hierarchical nucleationpropagation 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. 1

Citations

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