Hit identification of SMYD3 enzyme inhibitors using structure-based pharmacophore modeling
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Updated: Jan 22, 2026

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Published on: September 26, 2025
Soraya M Alnabulsi1, Nizar A Al-Shar'i1
1Department of Medicinal Chemistry & Pharmacognosy, Faculty of Pharmacy, Jordan University of Science & Technology, PO Box 3030, Irbid 22110, Jordan.
Abstract:
Aim: SMYD3 enzyme is overexpressed in many types of cancer and its role in the methylation of cytoplasmic mitogen-activated protein kinase, kinase kinase 2 (MAP3K2), has been linked to promotion of Kras-driven cancer in pancreatic ductal and lung adenocarcinoma. Materials & methods: A hybrid 3D structure-based pharmacophore model was generated using crystal structures of SMYD3 complexed with sinefungin and was used to search for potential SMYD3 inhibitors through virtual screening of the Maybridge database. The retrieved hits from screening were further docked into the binding site of SMYD3 using CDOCKER docking algorithms. The top-ranked hits were selected and their inhibitory activity was evaluated. Results & conclusion: The results obtained helped us to find an SMYD3 small molecule hit inhibitor scaffold.
Insights
Researchers identified a novel small molecule inhibitor scaffold for the SMYD3 enzyme, which is overexpressed in various cancers. This discovery offers a potential new therapeutic strategy for Kras-driven cancers, including pancreatic and lung adenocarcinoma.
Area of Science:
- Oncology
- Biochemistry
- Drug Discovery
Background:
- SMYD3 enzyme is overexpressed in multiple cancer types.
- SMYD3 facilitates methylation of MAP3K2, promoting Kras-driven cancers like pancreatic and lung adenocarcinoma.
Purpose of the Study:
- To identify novel small molecule inhibitors targeting the SMYD3 enzyme.
- To explore therapeutic strategies against SMYD3-driven cancers.
Main Methods:
- Generated a hybrid 3D structure-based pharmacophore model of SMYD3.
- Performed virtual screening of the Maybridge database against the pharmacophore model.
- Utilized CDOCKER docking algorithms for hit validation and selection.
- Evaluated the inhibitory activity of top-ranked small molecule hits.
Main Results:
- Identified a novel small molecule inhibitor scaffold for SMYD3.
- The screening and docking approach successfully pinpointed potential SMYD3 inhibitors.
Conclusions:
- The identified SMYD3 inhibitor scaffold shows promise for developing new cancer therapeutics.
- This study provides a foundation for further drug development targeting SMYD3 in oncology.
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