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Assessment of Resistance to Tyrosine Kinase Inhibitors by an Interrogation of Signal Transduction Pathways by Antibody Arrays
Published on: September 19, 2018
Investigating natural compounds against oncogenic RET tyrosine kinase using pharmacoinformatic approaches for cancer
Shraddha Parate1, Vikas Kumar2, Jong Chan Hong1
1Division of Applied Life Science, Plant Molecular Biology and Biotechnology Research Center (PMBBRC), Gyeongsang National University (GNU) 501 Jinju-daero Jinju 52828 Korea jchong@gnu.ac.kr.
Abstract:
Rearranged during transfection (RET) tyrosine kinase is a transmembrane receptor tyrosine kinase regulating vital aspects of cellular proliferation, differentiation, and survival. An outstanding challenge in designing protein kinase inhibitors is due to the development of drug resistance. The "gain of function" mutations in the RET gate-keeper residue, Val804, confers resistance to the majority of known RET inhibitors, including vandetanib. To curtail this resistance, researchers developed selpercatinib (LOXO-292) against the RET gate-keeper mutant forms - V804M and V804L. In the present in silico investigation, a receptor-ligand pharmacophore model was generated to identify small molecule inhibitors effective for wild-type (WT) as well as mutant RET kinase variants. The generated model was employed to screen 144 766 natural products (NPs) available in the ZINC database and the retrieved NPs were filtered for their drug-likeness. The resulting 2696 drug-like NPs were subjected to molecular docking with the RET WT kinase domain and a total of 27 molecules displayed better dock scores than the reference inhibitors - vandetanib and selpercatinib. From 27 NPs, an aggregate of 12 compounds demonstrated better binding free energy (BFE) scores than the reference inhibitors, towards RET. Thus, the 12 NPs were also subjected to docking, simulation, and BFE estimation towards the constructed gate-keeper RET mutant structures. The BFE calculations revealed 3 hits with better BFE scores than the reference inhibitors towards WT, V804M, and V804L RET variants. Thus, the scaffolds of hit compounds presented in this study could act as potent RET inhibitors and further provide insights for drug optimization targeting aberrant activation of RET signaling, specifically the mutation of gate-keeper residue - Val804.
Insights
Researchers identified novel natural product inhibitors for Rearranged during transfection (RET) kinase, overcoming drug resistance mutations like Val804. Three potent compounds show promise against wild-type and mutant RET variants, offering new therapeutic strategies.
Area of Science:
- Oncology
- Pharmacology
- Computational Chemistry
Background:
- Rearranged during transfection (RET) tyrosine kinase is crucial for cell growth, but mutations cause drug resistance.
- Gate-keeper mutations (e.g., Val804) in RET confer resistance to existing inhibitors like vandetanib.
- Selpercatinib was developed to target RET gate-keeper mutants (V804M, V804L).
Purpose of the Study:
- To identify novel small molecule inhibitors effective against wild-type (WT) and drug-resistant RET kinase variants using computational methods.
- To screen a large library of natural products for potential RET inhibitors.
- To discover new scaffolds for drug optimization targeting RET gate-keeper mutations.
Main Methods:
- Generation of a receptor-ligand pharmacophore model for RET kinase.
- Screening of over 144,000 natural products from the ZINC database.
- Molecular docking, binding free energy (BFE) calculations, and simulations against WT and mutant RET kinase domains.
Main Results:
- 27 natural products showed better docking scores than reference inhibitors (vandetanib, selpercatinib).
- 12 compounds exhibited superior binding free energy (BFE) compared to reference inhibitors.
- 3 hit compounds demonstrated superior BFE against WT, V804M, and V804L RET variants.
Conclusions:
- Identified 3 natural product scaffolds with potent inhibitory activity against wild-type and gate-keeper mutant RET variants.
- These compounds offer promising starting points for developing new RET inhibitors to overcome drug resistance.
- The study provides insights for optimizing drugs targeting aberrant RET signaling, particularly Val804 mutations.
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