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A Rapid and Quantitative Fluorimetric Method for Protein-Targeting Small Molecule Drug Screening
Published on: October 16, 2015
If You Cannot Win Them, Join Them: Understanding New Ways to Target STAT3 by Small Molecules
Francesc Sabanés Zariquiey1, João V da Souza1, Roger Estrada-Tejedor2
1Chemistry, School of Natural and Environmental Sciences, Newcastle University, NE1 7RU Newcastle, United Kingdom.
Abstract:
Signal transducer activator of transcription 3 (STAT3) is among the most investigated oncogenic transcription factors, as it is highly associated with cancer initiation, progression, metastasis, chemoresistance, and immune evasion. Evidences from both preclinical and clinical studies have demonstrated that STAT3 plays a critical role in several malignancies associated with poor prognosis such as glioblastoma and triple-negative breast cancer, and STAT3 inhibitors have shown efficacy in inhibiting cancer growth and metastasis. Constitutive activation of STAT3 by mutations occurs frequently in tumor cells and directly contributes to many malignant phenotypes. Unfortunately, detailed structural biology studies on STAT3 as well as target-based drug discovery efforts have been hampered by difficulties in the expression and purification of the full-length STAT3 and a lack of ligand-bound crystal structures. Considering these, molecular modeling and simulations offer an attractive strategy for the assessment of the "druggability" of STAT3 dimers and allow investigations of reported activating and inhibiting STAT3 mutants at the atomistic level of detail. In the present study, we focused on the effects exerted by reported STAT3 mutations on the protein structure, dynamics, DNA-binding, and dimerization, thus linking structure, dynamics, energetics, and the biological function. By employing atomistic molecular dynamics and umbrella-sampling simulations to a series of human STAT3 dimers, which comprised wild-type protein and four mutations, we explained the modulation of STAT3 activity by these mutations. Counter-intuitively, our results show that the D570K inhibitory mutation exerts its effect by enhancing rather than weakening STAT3-DNA interactions, which interfere with the DNA release by the protein dimer and thus inhibit STAT3 function as a transcription factor. We mapped the binding site and characterized the binding mode of a clinical candidate napabucasin/BBI-608 at STAT3, which resembles the effect of a D570K mutation. Our results contribute to understanding the activation/inhibition mechanism of STAT3, to explain the molecular mechanism of STAT3 inhibition by BBI-608. Alongside the characterization of the BBI-608 binding mode, we also discovered a novel binding site amenable to bind small-molecule ligands, which may pave the way to design novel STAT3 inhibitors and to suggest new strategies for pharmacological interventions to combat cancers associated with poor prognosis.
Insights
Signal transducer activator of transcription 3 (STAT3) mutations drive cancer. Molecular simulations revealed an inhibitory mutation enhances DNA binding, blocking STAT3 function and offering new drug targets for poor-prognosis cancers.
Area of Science:
- Biochemistry
- Molecular Biology
- Computational Biology
Background:
- Signal transducer activator of transcription 3 (STAT3) is a key oncogenic transcription factor implicated in cancer initiation, progression, metastasis, and immune evasion.
- Constitutive STAT3 activation, often due to mutations, contributes to malignant phenotypes in cancers like glioblastoma and triple-negative breast cancer.
- Challenges in STAT3 structural studies and drug discovery are linked to difficulties in protein expression, purification, and obtaining ligand-bound crystal structures.
Purpose of the Study:
- To investigate the impact of reported STAT3 mutations on protein structure, dynamics, DNA-binding, and dimerization using molecular modeling and simulations.
- To link STAT3 structure, dynamics, energetics, and biological function at an atomistic level.
- To elucidate the mechanism of STAT3 inhibition by mutations and identify novel drug targets.
Main Methods:
- Atomistic molecular dynamics simulations.
- Umbrella-sampling simulations of wild-type and four mutated human STAT3 dimers.
- Molecular modeling to assess STAT3 dimer druggability and analyze mutation effects.
- Mapping of binding sites and characterization of ligand-binding modes.
Main Results:
- Mutations significantly modulate STAT3 activity by altering protein structure, dynamics, DNA-binding, and dimerization.
- The D570K inhibitory mutation enhances STAT3-DNA interactions, impeding DNA release and inhibiting transcription factor function.
- The clinical candidate napabucasin/BBI-608 binds to STAT3, mimicking the inhibitory effect of the D570K mutation.
- A novel small-molecule binding site on STAT3 was discovered.
Conclusions:
- Molecular simulations provide insights into STAT3 activation/inhibition mechanisms and the molecular basis of STAT3 inhibition by BBI-608.
- The findings enhance understanding of how STAT3 mutations affect its function.
- The identified novel binding site offers potential for designing new STAT3 inhibitors and developing therapeutic strategies for aggressive cancers.
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