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Other literature type . 2021
License: CC BY
Data sources: Datacite
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Other literature type . 2021
License: CC BY
Data sources: Datacite
Journal of Biomolecular Structure and Dynamics
Article . 2021 . Peer-reviewed
Data sources: Crossref
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Molecular mechanism study of EGFR allosteric inhibitors using molecular dynamics simulations and free energy calculations

Authors: Xiaoyun Wu; Qian Guo; Qinlan Li; Shanhe Wan; Zhonghuang Li; Jiajie Zhang;

Molecular mechanism study of EGFR allosteric inhibitors using molecular dynamics simulations and free energy calculations

Abstract

The epidermal growth factor receptor (EGFR) kinase inhibitors Gefitinib, Erlotinib, Afatinib and Osimertinib have been approved for the treatments of non-small cell lung cancer patients harboring sensitive EGFR mutations, but resistance arises rapidly. To date all approved EGFR inhibitors are ATP-competitive inhibitors, highlighting the need for therapeutic agents with alternative mechanisms of action. Allosteric kinase inhibitors offer a promising new therapeutic strategy to ATP-competitive inhibitors. The mutant-selective allosteric EGFR inhibitors EAI045 exhibited higher potency for EGFRL858R&T790M compared to WT, which was also effective in EGFR-mutant models including those harboring the C797S mutation. However, it was not effective as a single-agent inhibitor, and require the co-administration of the anti-EGFR antibody Cetuximab. Further efforts produced a more potent analog JBJ-04-125-02, which can inhibit cell proliferation as a single-agent inhibitor. In the present study, molecular dynamics simulations and free energy calculations were performed and revealed the detailed inhibitory mechanism of JBJ-04-125-02 as more potent EGFR inhibitor. Moreover, the energy difference between HOMO and LUMO calculated by DFT implied the higher interaction of JBJ-04-125-02 than EAI045 in the active site of the EGFR. The identified key features obtained from the molecular modeling enabled us to design novel EGFR allosteric inhibitors. Communicated by Ramaswamy H. Sarma

Related Organizations
Keywords

Lung Neoplasms, Chemical Sciences not elsewhere classified, EGFR, Molecular Dynamics Simulation, Biochemistry, Adenosine Triphosphate, Carcinoma, Non-Small-Cell Lung, Humans, Protein Kinase Inhibitors, Cancer, Pharmacology, allosteric inhibitor, EAI045, Cell Biology, Hematology, molecular dynamics, JBJ-04-125-02, ErbB Receptors, Drug Resistance, Neoplasm, Mutation, Medicine, Biotechnology, Developmental Biology, Biological Sciences not elsewhere classified

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Top 10%
Green