ArticleMolecular diversity2023
Screening of potent STAT3-SH2 domain inhibitors from JAK/STAT compound library through molecular dynamics simulation.
Article in Molecular diversity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 21 citations in OpenAlex.
- Emerging and underexplored ginsenosides in cancer therapy (2020-2025): Beyond cytotoxic mechanisms.Journal of ginseng research · 2026Review
- STAT3 signaling inhibitors for cancer treatment.Trends in pharmacological sciences · 2026Review
- STAT3 Signaling Pathway in Health and Disease.MedComm · 2025Review
- Advancing the Understanding and Treatment of Cancer Cachexia: Mechanisms, Therapeutic Approaches, and Future Opportunities.Cancer management and research · 2025Review
- Article
- Identification of novel STAT3 inhibitors for liver fibrosis, using pharmacophore-based virtual screening, molecular docking, and biomolecular dynamics simulations.Scientific reports · 2023Article
- Discovery of new oxadiazolo pyridine derivatives as potent ghrelin O-acyltransferase inhibitors using molecular modeling techniques.In silico pharmacology · 2023Article
- Chemotherapeutic Potential of Saikosaponin D: Experimental Evidence.Journal of xenobiotics · 2022Review
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
The Signal Transducer and Activator of Transcription 3 (STAT3) protein is activated consistently in the tumor cells and thus studied as a potent target for cancer prevention. The TYR705-phosphorylated (pTyr) STAT3 forms a homo-dimer by binding to its recognition site in the Src Homology 2 (SH2) domain of another STAT3 monomer, causing cellular survival, proliferation, inflammation, and tumor invasion. Many inhibitors of STAT3-SH2 have recently been identified using both computational and experimental approaches. In this study, we used molecular docking, Absorption, Distribution, Metabolism, and Excretion/Toxicological (ADME/tox) and molecular dynamics modeling to examine binding affinities and specificities of 191 inhibitor drugs from the SELLECKCHEM database. The binding free energies of the inhibitors were calculated by Induced Fit Docking (IFD) prime energy. The binding hotspots of STAT3-SH2 were evaluated via binding energy decomposition and hydrogen bond distribution analysis, and the inhibitor compound's stability was assessed through MD simulation. (-)-Epigallocatechin gallate, Kaempferol-3-O-rutinoside, Picroside I, Saikosaponin D, and Ginsenoside Rk1 were found to be the top hit inhibitor compounds. They exhibited an exceptional docking score, a low binding free energy, interacted with the key amino acid residue, and showed significant ADME/tox moderation. These compounds were further proved to be favorable by their stability in an MD simulation run for 100 ns using GROMACS software. The inhibitors (-)-Epigallocatechin gallate, Kaempferol-3-O-rutinoside, and Saikosaponin D show improved stability in molecular dynamic modeling and are expected to have a significant STAT3-SH2 inhibitory effect against cancer.
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