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Programmable design of orthogonal protein heterodimers

Author

Listed:
  • Zibo Chen

    (University of Washington
    University of Washington
    University of Washington)

  • Scott E. Boyken

    (University of Washington
    University of Washington)

  • Mengxuan Jia

    (The Ohio State University)

  • Florian Busch

    (The Ohio State University)

  • David Flores-Solis

    (University of California Santa Cruz)

  • Matthew J. Bick

    (University of Washington
    University of Washington)

  • Peilong Lu

    (University of Washington
    University of Washington)

  • Zachary L. VanAernum

    (The Ohio State University)

  • Aniruddha Sahasrabuddhe

    (The Ohio State University)

  • Robert A. Langan

    (University of Washington
    University of Washington
    University of Washington)

  • Sherry Bermeo

    (University of Washington
    University of Washington
    University of Washington)

  • T. J. Brunette

    (University of Washington
    University of Washington)

  • Vikram Khipple Mulligan

    (University of Washington
    University of Washington)

  • Lauren P. Carter

    (University of Washington
    University of Washington)

  • Frank DiMaio

    (University of Washington
    University of Washington)

  • Nikolaos G. Sgourakis

    (University of California Santa Cruz)

  • Vicki H. Wysocki

    (The Ohio State University)

  • David Baker

    (University of Washington
    University of Washington
    University of Washington)

Abstract

Specificity of interactions between two DNA strands, or between protein and DNA, is often achieved by varying bases or side chains coming off the DNA or protein backbone—for example, the bases participating in Watson–Crick pairing in the double helix, or the side chains contacting DNA in TALEN–DNA complexes. By contrast, specificity of protein–protein interactions usually involves backbone shape complementarity1, which is less modular and hence harder to generalize. Coiled-coil heterodimers are an exception, but the restricted geometry of interactions across the heterodimer interface (primarily at the heptad a and d positions2) limits the number of orthogonal pairs that can be created simply by varying side-chain interactions3,4. Here we show that protein–protein interaction specificity can be achieved using extensive and modular side-chain hydrogen-bond networks. We used the Crick generating equations5 to produce millions of four-helix backbones with varying degrees of supercoiling around a central axis, identified those accommodating extensive hydrogen-bond networks, and used Rosetta to connect pairs of helices with short loops and to optimize the remainder of the sequence. Of 97 such designs expressed in Escherichia coli, 65 formed constitutive heterodimers, and the crystal structures of four designs were in close agreement with the computational models and confirmed the designed hydrogen-bond networks. In cells, six heterodimers were fully orthogonal, and in vitro—following mixing of 32 chains from 16 heterodimer designs, denaturation in 5 M guanidine hydrochloride and reannealing—almost all of the interactions observed by native mass spectrometry were between the designed cognate pairs. The ability to design orthogonal protein heterodimers should enable sophisticated protein-based control logic for synthetic biology, and illustrates that nature has not fully explored the possibilities for programmable biomolecular interaction modalities.

Suggested Citation

  • Zibo Chen & Scott E. Boyken & Mengxuan Jia & Florian Busch & David Flores-Solis & Matthew J. Bick & Peilong Lu & Zachary L. VanAernum & Aniruddha Sahasrabuddhe & Robert A. Langan & Sherry Bermeo & T. , 2019. "Programmable design of orthogonal protein heterodimers," Nature, Nature, vol. 565(7737), pages 106-111, January.
  • Handle: RePEc:nat:nature:v:565:y:2019:i:7737:d:10.1038_s41586-018-0802-y
    DOI: 10.1038/s41586-018-0802-y
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    Citations

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    Cited by:

    1. Anna-Maria Makri Pistikou & Glenn A. O. Cremers & Bryan L. Nathalia & Theodorus J. Meuleman & Bas W. A. Bögels & Bruno V. Eijkens & Anne Dreu & Maarten T. H. Bezembinder & Oscar M. J. A. Stassen & Car, 2023. "Engineering a scalable and orthogonal platform for synthetic communication in mammalian cells," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    2. W. Clifford Boldridge & Ajasja Ljubetič & Hwangbeom Kim & Nathan Lubock & Dániel Szilágyi & Jonathan Lee & Andrej Brodnik & Roman Jerala & Sriram Kosuri, 2023. "A multiplexed bacterial two-hybrid for rapid characterization of protein–protein interactions and iterative protein design," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    3. Alexander E. Vlahos & Jeewoo Kang & Carlos A. Aldrete & Ronghui Zhu & Lucy S. Chong & Michael B. Elowitz & Xiaojing J. Gao, 2022. "Protease-controlled secretion and display of intercellular signals," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    4. Estera Merljak & Benjamin Malovrh & Roman Jerala, 2023. "Segmentation strategy of de novo designed four-helical bundles expands protein oligomerization modalities for cell regulation," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    5. 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.

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