Generation of antifungals to combat drug resistance using language models and diffusion models
MolDiffusion effectively translates AI-generated molecular designs into experimentally validated antifungal leads, including dual-target compounds with potential to overcome drug resistance. These findings highlight the platform's promise as a robust tool for next-generation antifungal drug discovery.
Authors
- Wenqiang Chang
- Yeji Wang
- Hong‐Xiang Lou (ORCID: https://orcid.org/0000-0003-3300-1811)
- Lin‐Tao Xu
- Kunkun Zhang
- Yihao Zheng (ORCID: https://orcid.org/0000-0003-4110-4175)
- Jiahui Chen (ORCID: https://orcid.org/0000-0001-5416-6231)
- Wei Zhao (ORCID: https://orcid.org/0000-0003-2825-2667)
- Tao Shen (ORCID: https://orcid.org/0000-0002-2095-1562)
- Minghui Song
- Yuemei Dong
Institutions
- Shandong University (CN)
Publication Details
- Journal
- Journal of Advanced Research
- Published
- 2025-11-01
- DOI
- https://doi.org/10.1016/j.jare.2025.11.046
- Citations
- 1
- Primary Topic
- vaccines and immunoinformatics approaches
- Type
- article
- Field-Weighted Citation Impact
- 0.81