TransferBAN-Syn: a transfer learning-based algorithm for predicting synergistic drug combinations against echinococcosis.

ABSTRACT: Echinococcosis is a zoonotic parasitic disease caused by the larvae of echinococcus tapeworms infesting the human body. Drug combination therapy is highly valued for the treatment of echinococcosis because of its potential to overcome resistance and enhance the response to existing drugs. Traditional methods of identifying drug combinations via biological experimentation is costly and time-consuming. Besides, the scarcity of existing drug combinations for echinococcosis hinders the development of computational methods. In this study, we propose a transfer learning-based model, namely TransferBAN-Syn, to identify synergistic drug combinations against echinococcosis based on abundant information of drug combinations against parasitic diseases. To the best of our knowledge, this is the first

SUBMITTER: Li H 

PROVIDER: S-EPMC11743481 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature