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De novo design of immunoglobulin-like domains

Author

Listed:
  • Tamuka M. Chidyausiku

    (University of Washington
    University of Washington
    University of Washington
    Novartis Institutes for BioMedical Research Inc.)

  • Soraia R. Mendes

    (Molecular Biology Institute of Barcelona (IBMB-CSIC))

  • Jason C. Klima

    (University of Washington
    University of Washington
    Encodia, Inc.)

  • Marta Nadal

    (Molecular Biology Institute of Barcelona (IBMB-CSIC))

  • Ulrich Eckhard

    (Molecular Biology Institute of Barcelona (IBMB-CSIC))

  • Jorge Roel-Touris

    (Molecular Biology Institute of Barcelona (IBMB-CSIC))

  • Scott Houliston

    (University of Toronto
    University of Toronto)

  • Tibisay Guevara

    (Molecular Biology Institute of Barcelona (IBMB-CSIC))

  • Hugh K. Haddox

    (University of Washington)

  • Adam Moyer

    (University of Washington)

  • Cheryl H. Arrowsmith

    (University of Toronto
    University of Toronto)

  • F. Xavier Gomis-Rüth

    (Molecular Biology Institute of Barcelona (IBMB-CSIC))

  • David Baker

    (University of Washington
    University of Washington
    University of Washington)

  • Enrique Marcos

    (Molecular Biology Institute of Barcelona (IBMB-CSIC))

Abstract

Antibodies, and antibody derivatives such as nanobodies, contain immunoglobulin-like (Ig) β-sandwich scaffolds which anchor the hypervariable antigen-binding loops and constitute the largest growing class of drugs. Current engineering strategies for this class of compounds rely on naturally existing Ig frameworks, which can be hard to modify and have limitations in manufacturability, designability and range of action. Here, we develop design rules for the central feature of the Ig fold architecture—the non-local cross-β structure connecting the two β-sheets—and use these to design highly stable Ig domains de novo, confirm their structures through X-ray crystallography, and show they can correctly scaffold functional loops. Our approach opens the door to the design of antibody-like scaffolds with tailored structures and superior biophysical properties.

Suggested Citation

  • Tamuka M. Chidyausiku & Soraia R. Mendes & Jason C. Klima & Marta Nadal & Ulrich Eckhard & Jorge Roel-Touris & Scott Houliston & Tibisay Guevara & Hugh K. Haddox & Adam Moyer & Cheryl H. Arrowsmith & , 2022. "De novo design of immunoglobulin-like domains," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-33004-6
    DOI: 10.1038/s41467-022-33004-6
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    References listed on IDEAS

    as
    1. Sicong Yao & Adam Moyer & Yiwu Zheng & Yang Shen & Xiaoting Meng & Chong Yuan & Yibing Zhao & Hongwei Yao & David Baker & Chuanliu Wu, 2022. "De novo design and directed folding of disulfide-bridged peptide heterodimers," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    2. Kathryn Tunyasuvunakool & Jonas Adler & Zachary Wu & Tim Green & Michal Zielinski & Augustin Žídek & Alex Bridgland & Andrew Cowie & Clemens Meyer & Agata Laydon & Sameer Velankar & Gerard J. Kleywegt, 2021. "Highly accurate protein structure prediction for the human proteome," Nature, Nature, vol. 596(7873), pages 590-596, August.
    3. John Jumper & Richard Evans & Alexander Pritzel & Tim Green & Michael Figurnov & Olaf Ronneberger & Kathryn Tunyasuvunakool & Russ Bates & Augustin Žídek & Anna Potapenko & Alex Bridgland & Clemens Me, 2021. "Highly accurate protein structure prediction with AlphaFold," Nature, Nature, vol. 596(7873), pages 583-589, August.
    4. Gaurav Bhardwaj & Vikram Khipple Mulligan & Christopher D. Bahl & Jason M. Gilmore & Peta J. Harvey & Olivier Cheneval & Garry W. Buchko & Surya V. S. R. K. Pulavarti & Quentin Kaas & Alexander Eletsk, 2016. "Accurate de novo design of hyperstable constrained peptides," Nature, Nature, vol. 538(7625), pages 329-335, October.
    5. Sarel J Fleishman & Andrew Leaver-Fay & Jacob E Corn & Eva-Maria Strauch & Sagar D Khare & Nobuyasu Koga & Justin Ashworth & Paul Murphy & Florian Richter & Gordon Lemmon & Jens Meiler & David Baker, 2011. "RosettaScripts: A Scripting Language Interface to the Rosetta Macromolecular Modeling Suite," PLOS ONE, Public Library of Science, vol. 6(6), pages 1-10, June.
    6. Ivan Anishchenko & Samuel J. Pellock & Tamuka M. Chidyausiku & Theresa A. Ramelot & Sergey Ovchinnikov & Jingzhou Hao & Khushboo Bafna & Christoffer Norn & Alex Kang & Asim K. Bera & Frank DiMaio & La, 2021. "De novo protein design by deep network hallucination," Nature, Nature, vol. 600(7889), pages 547-552, December.
    7. Nobuyasu Koga & Rie Tatsumi-Koga & Gaohua Liu & Rong Xiao & Thomas B. Acton & Gaetano T. Montelione & David Baker, 2012. "Principles for designing ideal protein structures," Nature, Nature, vol. 491(7423), pages 222-227, November.
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    Cited by:

    1. Jorge Roel-Touris & Marta Nadal & Enrique Marcos, 2023. "Single-chain dimers from de novo immunoglobulins as robust scaffolds for multiple binding loops," Nature Communications, Nature, vol. 14(1), pages 1-15, December.

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