Disulfide Bonding Pattern Prediction Using Support Vector Machine with Parameters Tuned by Multiple Trajectory Search

Abstract

The prediction of the location of disulfide bridges helps towards the solution of protein folding problem. Most of previous works on disulfide connectivity pattern prediction use the prior knowledge of the bonding state of cysteines. In this study an effective method is proposed to predict disulfide connectivity pattern without the prior knowledge of… (More)

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@inproceedings{Lin2009DisulfideBP, title={Disulfide Bonding Pattern Prediction Using Support Vector Machine with Parameters Tuned by Multiple Trajectory Search}, author={Hsuan-Hung Lin and Lin-Yu Tseng}, year={2009} }