| 摘要 |
The present invention provides a bioinformatic methodology for prediction of peptidase cleavage sites based on principal component analysis and based on training sets obtained by experimental protein cleavage. This invention is not limited to training sets derived from CSL approaches, nor to any other experimental determination of cleavage site. Undoubtedly there will be new approaches to developed for experimental measurement of cleavage sites and these too may be the source of training sources for the present invention. |
