IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v9y2018i1d10.1038_s41467-018-07618-8.html
   My bibliography  Save this article

Hierarchical and programmable one-pot synthesis of oligosaccharides

Author

Listed:
  • Cheng-Wei Cheng

    (Academia Sinica
    Academia Sinica
    National Yang-Ming University)

  • Yixuan Zhou

    (Academia Sinica)

  • Wen-Harn Pan

    (Academia Sinica)

  • Supriya Dey

    (Academia Sinica)

  • Chung-Yi Wu

    (Academia Sinica)

  • Wen-Lian Hsu

    (Academia Sinica)

  • Chi-Huey Wong

    (Academia Sinica
    The Scripps Research Institute)

Abstract

The programmable one-pot oligosaccharide synthesis method was designed to enable the rapid synthesis of a large number of oligosaccharides, using the software Optimer to search Building BLocks (BBLs) with defined relative reactivity values (RRVs) to be used sequentially in the one-pot reaction. However, there were only about 50 BBLs with measured RRVs in the original library and the method could only synthesize small oligosaccharides due to the RRV ordering requirement. Here, we increase the library to include 154 validated BBLs and more than 50,000 virtual BBLs with predicted RRVs by machine learning. We also develop the software Auto-CHO to accommodate more data handling and support hierarchical one-pot synthesis using fragments as BBLs generated by the one-pot synthesis. This advanced programmable one-pot method provides potential synthetic solutions for complex glycans with four successful examples demonstrated in this work.

Suggested Citation

  • Cheng-Wei Cheng & Yixuan Zhou & Wen-Harn Pan & Supriya Dey & Chung-Yi Wu & Wen-Lian Hsu & Chi-Huey Wong, 2018. "Hierarchical and programmable one-pot synthesis of oligosaccharides," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-07618-8
    DOI: 10.1038/s41467-018-07618-8
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-018-07618-8
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-018-07618-8?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
    ---><---

    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:9:y:2018:i:1:d:10.1038_s41467-018-07618-8. 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.