Prediction and Analysis of β-turns by Support Vector Machine 1 Prediction and Analysis of β-turns in Proteins by Support Vector Machine

@inproceedings{Pham2003PredictionAA,
  title={Prediction and Analysis of β-turns by Support Vector Machine 1 Prediction and Analysis of β-turns in Proteins by Support Vector Machine},
  author={Tho Hoan Pham and Kenji Satou},
  year={2003}
}
Tight turn has long been recognized as one of the three important features of proteins after the α-helix and β-sheet. Tight turns play an important role in globular proteins from both the structural and functional points of view. More than 90% tight turns are β-turns. Analysis and prediction of β-turns in particular and tight turns in general are very useful for the design of new molecules such as drugs, pesticides, and antigens. In this paper, we introduce a support vector machine (SVM… CONTINUE READING

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