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In silico profiling and structural insights of missense mutations in RET protein kinase domain by molecular dynamics
C George Priya Doss1, B Rajith, Chiranjib Chakraboty
1Medical Biotechnology Division, School of Biosciences and Technology, VIT University, Vellore 632014, Tamil Nadu, India. georgepriyadoss@vit.ac.in georgecp77@yahoo.co.in.
Abstract:
A major challenge remaining in drug design efforts towards protein kinase is due to the development of drug resistance initiated by the missense mutations in the kinase catalytic domain. Gain or loss of function mutations in the REarranged during Transfection (RET) tyrosine kinase gene have been associated with the development of a wide range of human associated cancers and Hirschsprung's disease. However, to what extent these mutations might affect bio-molecular functions remains unclear. In this article, the functionally significant mutations in RET were screened with the aid of various sequence and structure based in silico prediction methods. We mapped the deleterious mutants, modelled mutant proteins and deciphered the impact of mutations on drug binding mechanisms in the RET crystal structure of PDB ID: with the potential inhibitor vandetanib by docking analysis. Furthermore, molecular dynamics simulations were undertaken to understand the mechanistic action of cancer associated mutations in altering the protein kinase structure, dynamics, and stability. According to our results, the overall effect of V804M, M918T and S922Y were destabilizing and mostly alter the electrostatic component of the binding energy. Specifically, the mutation of gatekeeper residue valine 804 present in the ATP binding pocket affects the protein stability and confers resistance to the drug vandetanib, which was consistent with previously published experimental results. Overall, our findings may provide useful structural insights for in-depth understanding of the molecular mechanism underlying RET mutation and developing effective drugs.
Insights
Drug resistance in protein kinase cancers is a major challenge. This study uses in silico methods to analyze RET mutations, revealing how specific mutations like V804M impact drug binding and stability, offering insights for new drug development.
Area of Science:
- Biochemistry and Molecular Biology
- Computational Biology
- Pharmacology
Background:
- Missense mutations in protein kinase catalytic domains drive drug resistance.
- Mutations in the REarranged during Transfection (RET) tyrosine kinase gene are linked to cancers and Hirschsprung's disease.
- The precise impact of RET mutations on biomolecular functions requires further elucidation.
Purpose of the Study:
- To screen functionally significant RET mutations using in silico prediction methods.
- To analyze the effect of these mutations on drug binding mechanisms, particularly with the inhibitor vandetanib.
- To understand the molecular basis of cancer-associated RET mutations and their role in drug resistance.
Main Methods:
- Sequence and structure-based in silico prediction methods for screening RET mutations.
- Molecular docking analysis to assess the impact of mutations on drug binding to RET.
- Molecular dynamics simulations to investigate changes in protein structure, dynamics, and stability.
Main Results:
- Identified deleterious RET mutants and modeled their structures.
- V804M, M918T, and S922Y mutations were found to be destabilizing, primarily affecting the electrostatic binding energy.
- The V804M mutation at the gatekeeper residue alters protein stability and confers resistance to vandetanib.
Conclusions:
- In silico analysis provides structural insights into the molecular mechanisms of RET mutations.
- Understanding these mechanisms is crucial for developing effective drugs against RET-driven cancers.
- The V804M mutation's impact on vandetanib resistance is confirmed, highlighting its clinical relevance.
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