Abstract: A method and system for generating a graph neural network comprising association of one or more organs with a disease. The method enables target identification of organs to expediate the drug purposing or discovery process. The method and system is an implementation of digital phama to accelerate target identification for drug design. The method comprises identifying one or more organs associated with a disease from one or more categories, wherein the one or more categories comprises of an organ ontology, one or more information indicative of the disease, plurality of abstract of publications. Weights are assigned to each of the one or more categories and the identified one or more organs, wherein the weights are assigned to the identified one or more organs based on one or more of—frequency of the keywords appearing the one or more categories, and one or more location of the keywords appearing the plurality of abstracts of publications.