Allosteric inhibition of c-Met kinase in sub-microsecond molecular dynamics simulations induced by its inhibitor, tivantinib

Literature Information

Publication Date 2016-03-14
DOI 10.1039/C5CP07001E
Impact Factor 3.676
Authors

Maocai Yan, Huiyun Wang, Qibao Wang, Zhen Zhang, Chunyan Zhang


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Abstract

Protein dynamics in the allosteric regulation of enzymes is crucial for understanding the regulation mechanism of enzymes and designing of inhibitors. Kinases have a conserved Asp–Phe–Gly motif (DFG motif) whose conformation determines the activation state of the kinase; however, knowledge on conformational transition of the DFG motif from the active state to the inactive state (“DFG-flip”) is quite limited. Here we report a DFG-flip of c-Met kinase in molecular dynamics (MD) simulations, induced by its allosteric inhibitor tivantinib. Our MD simulations showed that, with the assistance of tivantinib, c-Met may transit from the DFG-in state to the DFG-out state in a sub-microsecond time-scale. A unique binding mode of tivantinib to c-Met was identified to be the key intermediate for the ligand-induced DFG-flip. This study provides a detailed process of inhibitor-induced kinase allostery, as well as important insights into the DFG-flip mechanism and the design of allosteric inhibitors, not only of c-Met, but also of other kinases.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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