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Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025
Dual-inhibitors of STAT5 and STAT3: studies from molecular docking and molecular dynamics simulations
Shengjuan Shao1, Rilei Yu, Yanqing Yu
1Department of Chemistry and Chemical Engineering, Taiyuan Institute of Technology, Taiyuan, 030008, China.
Abstract:
Although molecularly targeted therapy with imatinib has improved treatments of chronic myeloid leukemia (CML), clinical resistance gradually develops in patients with accelerated or blast phase CML. The inability of imatinib to cure CML suggests that inactivation of BCR-ABL kinase activity alone is not sufficient to control the disease. Aberrant STAT signaling and constitutive STAT5 or STAT3 activation are frequently found in both acute and chronic leukemia. Constitutive activation of STAT5 and STAT3 are associated with imatinib resistance on leukemia cells. Development of drugs targeting SH2 domains of STAT5 and STAT3 provides a novel strategy for the treatment of the imatinib-resistant CML. Here, molecular docking and molecular dynamics simulations were used to investigate the interactions of the drugs targeting STAT3 and STAT5 receptors at molecular level. The calculated binding free energies are consistent with the ranking of the experimental affinities and our simulations also explained their differences in binding energy. Then virtual screening based on molecular docking and molecular dynamics was applied to screen a set of ~1500 compounds for dual inhibitors of the SH2 domains of STAT5 and STAT3. Three top score compounds obtained in virtual screening were compound 660, 304, and 561. Results show that the three predicted dual-inhibitors are well fitted within the two binding domains and are predicted to present improved STAT5 and STAT3 SH2 inhibitory activity.
Insights
This study identifies novel dual inhibitors targeting STAT5 and STAT3 SH2 domains to combat imatinib-resistant chronic myeloid leukemia (CML). These compounds show promise for treating CML where imatinib therapy fails.
Area of Science:
- Biochemistry
- Pharmacology
- Computational Chemistry
Background:
- Imatinib therapy for chronic myeloid leukemia (CML) faces resistance, particularly in advanced phases.
- Constitutive activation of STAT5 and STAT3 signaling pathways is linked to imatinib resistance in leukemia.
- Targeting the SH2 domains of STAT5 and STAT3 offers a new therapeutic strategy for imatinib-resistant CML.
Purpose of the Study:
- To investigate drug interactions with STAT3 and STAT5 SH2 domains using molecular simulations.
- To virtually screen compounds for dual inhibition of STAT5 and STAT3 SH2 domains.
- To identify novel drug candidates for imatinib-resistant CML.
Main Methods:
- Molecular docking and molecular dynamics simulations were employed.
- Virtual screening of approximately 1500 compounds was performed.
- Binding free energies were calculated and compared with experimental data.
Main Results:
- Simulations accurately predicted experimental binding affinities.
- Three top-scoring compounds (660, 304, and 561) were identified as potential dual inhibitors.
- These compounds demonstrated favorable binding within the STAT5 and STAT3 SH2 domains.
Conclusions:
- The identified compounds are predicted to possess enhanced inhibitory activity against STAT5 and STAT3 SH2 domains.
- These novel dual inhibitors represent a promising therapeutic avenue for imatinib-resistant CML.
- Computational approaches are effective in discovering targeted therapies for drug-resistant leukemias.
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