IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v11y2020i1d10.1038_s41467-020-16920-3.html
   My bibliography  Save this article

Ultra-large chemical libraries for the discovery of high-affinity peptide binders

Author

Listed:
  • Anthony J. Quartararo

    (Massachusetts Institute of Technology)

  • Zachary P. Gates

    (Massachusetts Institute of Technology)

  • Bente A. Somsen

    (Eindhoven University of Technology)

  • Nina Hartrampf

    (Massachusetts Institute of Technology)

  • Xiyun Ye

    (Massachusetts Institute of Technology)

  • Arisa Shimada

    (Osaka University)

  • Yasuhiro Kajihara

    (Osaka University)

  • Christian Ottmann

    (Eindhoven University of Technology)

  • Bradley L. Pentelute

    (Massachusetts Institute of Technology
    Massachusetts Institute of Technology
    Massachusetts Institute of Technology
    Broad Institute of MIT and Harvard)

Abstract

High-diversity genetically-encoded combinatorial libraries (108−1013 members) are a rich source of peptide-based binding molecules, identified by affinity selection. Synthetic libraries can access broader chemical space, but typically examine only ~ 106 compounds by screening. Here we show that in-solution affinity selection can be interfaced with nano-liquid chromatography-tandem mass spectrometry peptide sequencing to identify binders from fully randomized synthetic libraries of 108 members—a 100-fold gain in diversity over standard practice. To validate this approach, we show that binders to a monoclonal antibody are identified in proportion to library diversity, as diversity is increased from 106–108. These results are then applied to the discovery of p53-like binders to MDM2, and to a family of 3–19 nM-affinity, α/β-peptide-based binders to 14-3-3. An X-ray structure of one of these binders in complex with 14-3-3σ is determined, illustrating the role of β-amino acids in facilitating a key binding contact.

Suggested Citation

  • Anthony J. Quartararo & Zachary P. Gates & Bente A. Somsen & Nina Hartrampf & Xiyun Ye & Arisa Shimada & Yasuhiro Kajihara & Christian Ottmann & Bradley L. Pentelute, 2020. "Ultra-large chemical libraries for the discovery of high-affinity peptide binders," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-16920-3
    DOI: 10.1038/s41467-020-16920-3
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-020-16920-3
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-020-16920-3?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
    ---><---

    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_s41467-020-16920-3. 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.