Identification of Potential WSB1 Inhibitors by AlphaFold Modeling, Virtual Screening, and Molecular Dynamics Simulation Studies
Open accessAbstract
WD40 repeat and SOCS box containing 1 (WSB1) consists of seven WD40 repeat structural domains at the N-terminal end and one SOCS box structural domain at the C-terminal end. WSB1 promotes cancer progression by affecting the Von Hippel–Lindau tumor suppressor protein (pVHL) and upregulating hypoxia inducible factor-1α (HIF-1α) target gene expression. However, the crystal structure of WSB1 has not been reported, which is not beneficial to the research on WSB1 inhibitors. Therefore, we focused on specific small molecule inhibitors of WSB1. This study applied virtual screening and molecular dynamics simulations; finally, 20 compounds were obtained. Among them, compound G490-0341 showed the best stable structure and was a promising composite for further development of WSB1 inhibitors.
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In an end-to-end hepatocellular carcinoma example using Pharma.AI, disease-gene analyses identified CDK20 as a target.
“Using an integrated platform (Pharma.AI), disease-gene analyses identified CDK20 as a target (PandaOmics), an AlphaFold2 model supplied the target structure, and a generative module (Chemistry42) produced approximately 9000 candidate molecules [102,103].”
From Artificial Intelligence in Clinical Oncology: From Productivity Enhancement to Creative Discovery (2025) · cites this paper as [102]
The generative module Chemistry42 produced approximately 9000 candidate molecules.
“Using an integrated platform (Pharma.AI), disease-gene analyses identified CDK20 as a target (PandaOmics), an AlphaFold2 model supplied the target structure, and a generative module (Chemistry42) produced approximately 9000 candidate molecules [102,103].”
From Artificial Intelligence in Clinical Oncology: From Productivity Enhancement to Creative Discovery (2025) · cites this paper as [102]
Seven of the approximately 9000 candidate molecules were synthesized and tested; one showed promising activity in liver cancer cells and advanced as a lead, all within roughly 30 days from design initiation.
“Seven of these molecules were synthesized and tested; one showed promising activity in liver cancer cells and advanced as a lead, all within roughly 30 days from design initiation.”
From Artificial Intelligence in Clinical Oncology: From Productivity Enhancement to Creative Discovery (2025) · cites this paper as [102]
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- Authors
- Weng, Y., Pan, C., Shen, Z., Chen, S., Xu, L., Dong, X., & Chen, J.
- Affiliations
- Zhejiang Chinese Medical University (CN)
- Zhejiang University (CN)
- Jiangsu University of Technology (CN)
- Corresponding author
- Chen, Jing
- Venue
- Evidence-Based Complementary and Alternative Medicine
- Publisher
- Wiley
- Published
- 2022-05-13
- Volume
- 2022
- Pages
- 1-11
- ISSN
- 1741-427X (ISSN-L)
- 1741-4288
- PMC
- PMC9122669
- OpenAlex
- W4280615389
- Cited by
- 23
- References
- 50
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 9 · 2023: 4 · 2022: 1
- FWCI
- 2.71
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Evidence-based Complementary and Alternative Medicine (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Degradation and Inhibitors
- Keywords
- WSB1, WD40 repeats, SOCS box, small molecule inhibitors, von Hippel-Lindau protein, HIF-1α, tumor progression, protein structure prediction, virtual screening, molecular dynamics simulation
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