Published Paper Details:

In recent years statistical modeling technique have grown in length, its application in various fields is inadequate if not lagging behind together. The field of drug designing is not an exception to this. In this article we develop statistical model on the basis of empirical data set has been initiated and QSAR model has been developed by using the BCL2 data set. The paper produces the study to explore a quantitative structure�activity relationship (QSAR) of an especially anticancer Protein cell data set. The method is introduced with anticancer activity of Gossypol acetic acid against BCL2 (anticancer Protein cell) target for colorectal cancer, Breast cancer, Mouth cancer. The model is developed here in this chapter using 80% of 138 virtual sample. Regression coefficient of Partial least squares (PLS) for training set using Leave-one-out (LOO) method cross validation have been computed. The remaining 20% of data set has been used as a test set for the validation of the model proposed. The detection of five influencing factors which have been identified with high degree of statistical efficiency.