Abstract: A computer implemented method may collect a set of known drug compounds from a database, and create augmented datasets with labeled and unlabeled chemical data and biological data. A computer implemented method may train a neural network using the expanded training set to generate a prediction score of bioactivity of candidate drug compounds towards the biological target, wherein the contribution of the second plurality of unlabeled samples in training the neural network is scaled by a parameter. A computer implemented method may output one or more refined neural network models capable of generating candidate drug compounds with predicted activity. A computer implemented method may generate a candidate drug compound by inputting a candidate drug compound with chemical data into the trained neural network model.

Abstract: The inventive technology generally relates to systems, methods, and compositions for the treatment of viral infections, as well as novel use of antisense technology to rationally design antiviral compositions that can be applied to clinical cases and human infections. In one preferred aspect, the inventive technology includes methods, and compositions to treat COVID-19 in humans through the targeted inhibition of host-derived miRNAs.