The invention belongs to the field of intelligent biological prediction, and particularly relates to an
RNA-
small molecule binding affinity prediction method based on multi-view learning. The method comprises three stages of
data set up and down sampling
processing, feature construction and extraction based on
RNA and
small molecule sequences, and binding affinity prediction. According to the method,
data set distribution is optimized through an up-down sampling method, multi-view feature information is constructed through sequence information of
RNA and small molecules, a deep network is established to extract and depth biological information features, and finally, an MLP regression device is adopted to predict an RNA-
small molecule binding affinity value, so that
drug discovery work is assisted to be achieved. In order to solve the problem of imbalance of the existing
data set, the invention provides a method of combining up and down sampling for
processing, and the problem of imbalance is effectively relieved.