AgreementPred: a cheminformatic framework for drug and natural product category recommendation based on multi-representation structural similarity data fusion
AgreementPred is a simple and explainable framework for drug and natural product category recommendation, integrating multi-representation similarity data fusion with agreement-based filtering technique to achieve superior recall-precision balance.
Authors
- Dingfan Zhang (ORCID: https://orcid.org/0009-0008-0469-1263)
- Chayanis Sutcharitchan
- Boyang Wang (ORCID: https://orcid.org/0009-0002-5292-7724)
- Peng Zhang (ORCID: https://orcid.org/0000-0001-7973-2746)
- Tingyu Zhang (ORCID: https://orcid.org/0000-0001-6846-0175)
- Qingyuan Liu (ORCID: https://orcid.org/0000-0002-5384-7518)
- Li Shao (ORCID: https://orcid.org/0000-0002-9298-7193)
Institutions
- Tsinghua University (CN)
Publication Details
- Journal
- Digital Discovery
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5dd00329f
- Citations
- 1
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 1.50