Prediction of cystine connectivity using SVM.
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ABSTRACT:
SUBMITTER: Jayavardhana Rama GL
PROVIDER: S-EPMC1891633 | biostudies-literature | 2005 Dec
REPOSITORIES: biostudies-literature
Publications
Prediction of cystine connectivity using SVM.
Jayavardhana Rama G L GL Shilton Alistair P AP Parker Michael M MM Palaniswami Marimuthu M
Bioinformation 20051207 2
One of the major contributors to protein structures is the formation of disulphide bonds between selected pairs of cysteines at oxidized state. Prediction of such disulphide bridges from sequence is challenging given that the possible combination of cysteine pairs as the number of cysteines increases in a protein. Here, we describe a SVM (support vector machine) model for the prediction of cystine connectivity in a protein sequence with and without a priori knowledge on their bonding state. We m ...[more]
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