DeepTraSynergy: drug combinations using multimodal deep learning with transformers.

ABSTRACT:

Motivation

Screening bioactive compounds in cancer cell lines receive more attention. Multidisciplinary drugs or drug combinations have a more effective role in treatments and selectively inhibit the growth of cancer cells.

Results

Hence, we propose a new deep learning-based approach for drug combination synergy prediction called DeepTraSynergy. Our proposed approach utilizes multimodal input including drug-target interaction, protein-protein interaction, and cell-target interaction to predict drug combination synergy. To learn the feature representation of drugs, we have utilized transformers. It is worth noting that our approach is a multitask approach that predicts three outputs including the drug-target interaction, its toxic effect, and drug combination synergy. In our

SUBMITTER: Rafiei F 

PROVIDER: S-EPMC10397534 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature