A multimodal deep learning-based drug repurposing approach for treatment of COVID-19.

ABSTRACT: Recently, various computational methods have been proposed to find new therapeutic applications of the existing drugs. The Multimodal Restricted Boltzmann Machine approach (MM-RBM), which has the capability to connect the information about the multiple modalities, can be applied to the problem of drug repurposing. The present study utilized MM-RBM to combine two types of data, including the chemical structures data of small molecules and differentially expressed genes as well as small molecules perturbations. In the proposed method, two separate RBMs were applied to find out the features and the specific probability distribution of each datum (modality). Besides, RBM was used to integrate the discovered features, resulting in the identification of the probability distribution of the combin

SUBMITTER: Hooshmand SA 

PROVIDER: S-EPMC7525234 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature