IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v557y2018i7704d10.1038_s41586-018-0056-8.html
   My bibliography  Save this article

Nanoscale synthesis and affinity ranking

Author

Listed:
  • Nathan J. Gesmundo

    (Merck & Co., Inc.
    AbbVie)

  • Bérengère Sauvagnat

    (Merck & Co., Inc.)

  • Patrick J. Curran

    (Merck & Co., Inc.)

  • Matthew P. Richards

    (Merck & Co., Inc.)

  • Christine L. Andrews

    (Merck & Co., Inc.)

  • Peter J. Dandliker

    (Merck & Co., Inc.)

  • Tim Cernak

    (Merck & Co., Inc.
    University of Michigan)

Abstract

Most drugs are developed through iterative rounds of chemical synthesis and biochemical testing to optimize the affinity of a particular compound for a protein target of therapeutic interest. This process is challenging because candidate molecules must be selected from a chemical space of more than 1060 drug-like possibilities 1 , and a single reaction used to synthesize each molecule has more than 107 plausible permutations of catalysts, ligands, additives and other parameters 2 . The merger of a method for high-throughput chemical synthesis with a biochemical assay would facilitate the exploration of this enormous search space and streamline the hunt for new drugs and chemical probes. Miniaturized high-throughput chemical synthesis3–7 has enabled rapid evaluation of reaction space, but so far the merger of such syntheses with bioassays has been achieved with only low-density reaction arrays, which analyse only a handful of analogues prepared under a single reaction condition8–13. High-density chemical synthesis approaches that have been coupled to bioassays, including on-bead 14 , on-surface 15 , on-DNA 16 and mass-encoding technologies 17 , greatly reduce material requirements, but they require the covalent linkage of substrates to a potentially reactive support, must be performed under high dilution and must operate in a mixture format. These reaction attributes limit the application of transition-metal catalysts, which are easily poisoned by the many functional groups present in a complex mixture, and of transformations for which the kinetics require a high concentration of reactant. Here we couple high-throughput nanomole-scale synthesis with a label-free affinity-selection mass spectrometry bioassay. Each reaction is performed at a 0.1-molar concentration in a discrete well to enable transition-metal catalysis while consuming less than 0.05 milligrams of substrate per reaction. The affinity-selection mass spectrometry bioassay is then used to rank the affinity of the reaction products to target proteins, removing the need for time-intensive reaction purification. This method enables the primary synthesis and testing steps that are critical to the invention of protein inhibitors to be performed rapidly and with minimal consumption of starting materials.

Suggested Citation

  • Nathan J. Gesmundo & Bérengère Sauvagnat & Patrick J. Curran & Matthew P. Richards & Christine L. Andrews & Peter J. Dandliker & Tim Cernak, 2018. "Nanoscale synthesis and affinity ranking," Nature, Nature, vol. 557(7704), pages 228-232, May.
  • Handle: RePEc:nat:nature:v:557:y:2018:i:7704:d:10.1038_s41586-018-0056-8
    DOI: 10.1038/s41586-018-0056-8
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41586-018-0056-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/s41586-018-0056-8?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Babak Mahjour & Rui Zhang & Yuning Shen & Andrew McGrath & Ruheng Zhao & Osama G. Mohamed & Yingfu Lin & Zirong Zhang & James L. Douthwaite & Ashootosh Tripathi & Tim Cernak, 2023. "Rapid planning and analysis of high-throughput experiment arrays for reaction discovery," Nature Communications, Nature, vol. 14(1), pages 1-9, 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:nature:v:557:y:2018:i:7704:d:10.1038_s41586-018-0056-8. 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.