IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v11y2020i1d10.1038_s41467-020-14884-y.html
   My bibliography  Save this article

Haloperidol bound D2 dopamine receptor structure inspired the discovery of subtype selective ligands

Author

Listed:
  • Luyu Fan

    (University of Chinese Academy of Sciences)

  • Liang Tan

    (ShanghaiTech University)

  • Zhangcheng Chen

    (University of Chinese Academy of Sciences)

  • Jianzhong Qi

    (University of Chinese Academy of Sciences)

  • Fen Nie

    (University of Chinese Academy of Sciences)

  • Zhipu Luo

    (Soochow University)

  • Jianjun Cheng

    (ShanghaiTech University)

  • Sheng Wang

    (University of Chinese Academy of Sciences)

Abstract

The D2 dopamine receptor (DRD2) is one of the most well-established therapeutic targets for neuropsychiatric and endocrine disorders. Most clinically approved and investigational drugs that target this receptor are known to be subfamily-selective for all three D2-like receptors, rather than subtype-selective for only DRD2. Here, we report the crystal structure of DRD2 bound to the most commonly used antipsychotic drug, haloperidol. The structures suggest an extended binding pocket for DRD2 that distinguishes it from other D2-like subtypes. A detailed analysis of the structures illuminates key structural determinants essential for DRD2 activation and subtype selectivity. A structure-based and mechanism-driven screening combined with a lead optimization approach yield DRD2 highly selective agonists, which could be used as chemical probes for studying the physiological and pathological functions of DRD2 as well as promising therapeutic leads devoid of promiscuity.

Suggested Citation

  • Luyu Fan & Liang Tan & Zhangcheng Chen & Jianzhong Qi & Fen Nie & Zhipu Luo & Jianjun Cheng & Sheng Wang, 2020. "Haloperidol bound D2 dopamine receptor structure inspired the discovery of subtype selective ligands," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-14884-y
    DOI: 10.1038/s41467-020-14884-y
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-020-14884-y
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-020-14884-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiao Teng & Sijia Chen & Yingying Nie & Peng Xiao & Xiao Yu & Zhenhua Shao & Sanduo Zheng, 2022. "Ligand recognition and biased agonism of the D1 dopamine receptor," Nature Communications, Nature, vol. 13(1), pages 1-11, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-14884-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.