Discovery of Promising USP21 Small Molecule Inhibitors
OBJECTIVES: Ubiquitin specific protease 21 (USP21) is considered a novel lung cancer protein target. Research has revealed that USP21 is highly expressed in non-small cell lung cancer and its inhibition leads to decreased levels of the immune checkpoint inhibitor programmed death ligand 1 (PD-L1). Hence, targeting the USP21/ PD-L-1 interaction is a highly sought after therapeutic strategy. METHODS: In this study, we applied an integrated methodology beginning with the refinement and optimization of the USP21 crystal structure via a novel computational and artificial intelligence- based modeling strategy. Our highly predicted chemical structure was used for screening of 6877 molecules, including investigational and FDA-approved drugs, along with a known potent USP21 inhibitor. We then performed 10 ns molecular dynamics (MD) simulations for select molecules, followed by 100 ns MD simulations for 29 lead molecules, along with post-MD MM/GBSA system free energy ΔG calculations. RESULTS: Our comprehensive analysis led to the discovery of 7 molecules as the most promising USP21 inhibitors. These drugs are deslorelin, dotatate, vedroprevir, vasopressin, pentagastrin, furaprevir, and bleomycin, which is a currently approved anticancer drug used for the treatment of a variety of cancer types. CONCLUSIONS: Our results represent a strong scaffold that can be used by scientists, researchers, and chemists, opening the route for further drug design and discovery research. Drug repurposing offers a novel approach to identify potential cancer therapeutics and has the potential of making a significant impact on reducing the financial toxicity associated with oncology treatments for our patients.
Authors
- Tarek Kanan (ORCID: https://orcid.org/0000-0003-1905-9558)
- Manasa Kandula (ORCID: https://orcid.org/0000-0002-7616-3215)
- Duaa Kanan (ORCID: https://orcid.org/0000-0003-1943-8371)
Institutions
- Houston Methodist (US)
- University of Vermont Medical Center (US)
- Peoria campus of the University of Illinois System (US)
Publication Details
- Journal
- American Journal of Clinical Oncology
- Published
- 2026-10-29
- DOI
- https://doi.org/10.1097/coc.0000000000001391
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00