Attention-based approach to predict drug-target interactions across seven target superfamilies.

ABSTRACT:

Motivation

Drug-target interactions (DTIs) hold a pivotal role in drug repurposing and elucidation of drug mechanisms of action. While single-targeted drugs have demonstrated clinical success, they often exhibit limited efficacy against complex diseases, such as cancers, whose development and treatment is dependent on several biological processes. Therefore, a comprehensive understanding of primary, secondary and even inactive targets becomes essential in the quest for effective and safe treatments for cancer and other indications. The human proteome offers over a thousand druggable targets, yet most FDA-approved drugs bind to only a small fraction of these targets.

Results

This study introduces an attention-based method (called as MMAtt-DTA) to predict drug-target bioactivi

SUBMITTER: Schulman A 

PROVIDER: S-EPMC11520408 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature