4.8 Article

Molecular basis for ligand activation of the human KCNQ2 channel

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CELL RESEARCH
卷 31, 期 1, 页码 52-61

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SPRINGERNATURE
DOI: 10.1038/s41422-020-00410-8

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资金

  1. ECNU Multifunctional Platform for Innovation [001]
  2. Ministry of Science and Technology of China [2018YFA0508100, 2016YFA0500404]
  3. National Natural Science Foundation of China [31870724, 31800699, 31525001, 31430019]
  4. Fundamental Research Funds for the Central Universities
  5. Personalized Medicines-Molecular Signature-based Drug Discovery and Development
  6. Strategic Priority Research Program of the Chinese Academy of Sciences [XDA12040220]
  7. National Science and Technology Major Project Key New Drug Creation and Manufacturing Program of China [2018ZX09711002]
  8. XingFuZhiHua funding of ECNU [44300-19311-542500/006]

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Cryo-EM structures of human KCNQ2 in apo state and in complex with two activators, zzt240 or retigabine, reveal different ligand recognition and activation mechanisms, providing a structural basis for drug optimization and design.
The voltage-gated potassium channel KCNQ2 is responsible for M-current in neurons and is an important drug target to treat epilepsy, pain and several other diseases related to neuronal hyper-excitability. A list of synthetic compounds have been developed to directly activate KCNQ2, yet our knowledge of their activation mechanism is limited, due to lack of high-resolution structures. Here, we report cryo-electron microscopy (cryo-EM) structures of the human KCNQ2 determined in apo state and in complex with two activators, ztz240 or retigabine, which activate KCNQ2 through different mechanisms. The activator-bound structures, along with electrophysiology analysis, reveal that ztz240 binds at the voltage-sensing domain and directly stabilizes it at the activated state, whereas retigabine binds at the pore domain and activates the channel by an allosteric modulation. By accurately defining ligand-binding sites, these KCNQ2 structures not only reveal different ligand recognition and activation mechanisms, but also provide a structural basis for drug optimization and design.

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