DeepSeq2Drug: An expandable ensemble end-to-end anti-viral drug repurposing benchmark framework by multi-modal embeddings and transfer learning

Weidun Xie, Jixiang Yu, Lei Huang, Lek Shyuen For, Zetian Zheng, Xingjian Chen, Yuchen Wang, Zhichao Liu, Chengbin Peng, Ka-Chun Wong

Abstract: Highlights•Building an ensemble learning model for virus-drug repositioning using multi-modal embeddings.•Using pre-trained large models for extracting visual and language modality embeddings.•An easily extensible end-to-end drug prediction and feature comparison platform.•It can be used for drug repositioning for new viruses or virus variants.