MAARDTI: a multi-perspective attention aggregation model for the prediction of drug–target interactions
MAARDTI is an end-to-end neural network model for drug–target interaction prediction. Its MAAR module captures drug–protein interactions more comprehensively, achieving superior performance in predicting DTIs.
Authors
- Yu‐An Huang (ORCID: https://orcid.org/0000-0002-5346-2394)
- Xinke Zhan (ORCID: https://orcid.org/0000-0002-1235-3220)
- Chang-Qing Yu (ORCID: https://orcid.org/0009-0007-6655-1744)
- Zhu‐Hong You (ORCID: https://orcid.org/0000-0002-7373-7922)
- Shirley W. I. Siu (ORCID: https://orcid.org/0000-0002-3695-7758)
- T. Liu (ORCID: https://orcid.org/0000-0003-2322-1108)
Institutions
- Northwestern Polytechnical University (CN)
- Xijing University (CN)
- Macao Polytechnic University (MO)
Publication Details
- Journal
- Digital Discovery
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5dd00311c
- Citations
- 1
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 1.50
Funders
- National Natural Science Foundation of China