IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-36065-3.html
   My bibliography  Save this article

Design and characterization of a protein fold switching network

Author

Listed:
  • Biao Ruan

    (Potomac Affinity Proteins)

  • Yanan He

    (University of Maryland)

  • Yingwei Chen

    (Potomac Affinity Proteins)

  • Eun Jung Choi

    (Potomac Affinity Proteins)

  • Yihong Chen

    (University of Maryland)

  • Dana Motabar

    (Potomac Affinity Proteins
    University of Maryland)

  • Tsega Solomon

    (University of Maryland
    University of Maryland)

  • Richard Simmerman

    (Potomac Affinity Proteins)

  • Thomas Kauffman

    (University of Maryland
    University of Maryland)

  • D. Travis Gallagher

    (University of Maryland
    National Institute of Standards and Technology and the University of Maryland)

  • John Orban

    (University of Maryland
    University of Maryland)

  • Philip N. Bryan

    (Potomac Affinity Proteins
    University of Maryland)

Abstract

To better understand how amino acid sequence encodes protein structure, we engineered mutational pathways that connect three common folds (3α, β−grasp, and α/β−plait). The structures of proteins at high sequence-identity intersections in the pathways (nodes) were determined using NMR spectroscopy and analyzed for stability and function. To generate nodes, the amino acid sequence encoding a smaller fold is embedded in the structure of an ~50% larger fold and a new sequence compatible with two sets of native interactions is designed. This generates protein pairs with a 3α or β−grasp fold in the smaller form but an α/β−plait fold in the larger form. Further, embedding smaller antagonistic folds creates critical states in the larger folds such that single amino acid substitutions can switch both their fold and function. The results help explain the underlying ambiguity in the protein folding code and show that new protein structures can evolve via abrupt fold switching.

Suggested Citation

  • Biao Ruan & Yanan He & Yingwei Chen & Eun Jung Choi & Yihong Chen & Dana Motabar & Tsega Solomon & Richard Simmerman & Thomas Kauffman & D. Travis Gallagher & John Orban & Philip N. Bryan, 2023. "Design and characterization of a protein fold switching network," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-36065-3
    DOI: 10.1038/s41467-023-36065-3
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-36065-3
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-36065-3?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
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Po-Ssu Huang & Scott E. Boyken & David Baker, 2016. "The coming of age of de novo protein design," Nature, Nature, vol. 537(7620), pages 320-327, September.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Devlina Chakravarty & Shwetha Sreenivasan & Liskin Swint-Kruse & Lauren L. Porter, 2023. "Identification of a covert evolutionary pathway between two protein folds," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    2. Sota Yagi & Shunsuke Tagami, 2024. "An ancestral fold reveals the evolutionary link between RNA polymerase and ribosomal proteins," Nature Communications, Nature, vol. 15(1), pages 1-10, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Agnese I. Curatolo & Ofer Kimchi & Carl P. Goodrich & Ryan K. Krueger & Michael P. Brenner, 2023. "A computational toolbox for the assembly yield of complex and heterogeneous structures," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    2. Noelia Ferruz & Steffen Schmidt & Birte Höcker, 2022. "ProtGPT2 is a deep unsupervised language model for protein design," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    3. Shuangjia Zheng & Tao Zeng & Chengtao Li & Binghong Chen & Connor W. Coley & Yuedong Yang & Ruibo Wu, 2022. "Deep learning driven biosynthetic pathways navigation for natural products with BioNavi-NP," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    4. Ye Yuan & Lei Chen & Kexu Song & Miaomiao Cheng & Ling Fang & Lingfei Kong & Lanlan Yu & Ruonan Wang & Zhendong Fu & Minmin Sun & Qian Wang & Chengjun Cui & Haojue Wang & Jiuyang He & Xiaonan Wang & Y, 2024. "Stable peptide-assembled nanozyme mimicking dual antifungal actions," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    5. Ivica Odorčić & Mohamed Belal Hamed & Sam Lismont & Lucía Chávez-Gutiérrez & Rouslan G. Efremov, 2024. "Apo and Aβ46-bound γ-secretase structures provide insights into amyloid-β processing by the APH-1B isoform," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    6. Stella Vitt & Simone Prinz & Martin Eisinger & Ulrich Ermler & Wolfgang Buckel, 2022. "Purification and structural characterization of the Na+-translocating ferredoxin: NAD+ reductase (Rnf) complex of Clostridium tetanomorphum," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    7. Pierre Azoulay & Joshua Krieger & Abhishek Nagaraj, 2024. "Old Moats for New Models: Openness, Control, and Competition in Generative AI," NBER Chapters, in: Entrepreneurship and Innovation Policy and the Economy, volume 4, National Bureau of Economic Research, Inc.
    8. Riya Shah & Thomas C. Panagiotou & Gregory B. Cole & Trevor F. Moraes & Brigitte D. Lavoie & Christopher A. McCulloch & Andrew Wilde, 2024. "The DIAPH3 linker specifies a β-actin network that maintains RhoA and Myosin-II at the cytokinetic furrow," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    9. Yashan Yang & Qianqian Shao & Mingcheng Guo & Lin Han & Xinyue Zhao & Aohan Wang & Xiangyun Li & Bo Wang & Ji-An Pan & Zhenguo Chen & Andrei Fokine & Lei Sun & Qianglin Fang, 2024. "Capsid structure of bacteriophage ΦKZ provides insights into assembly and stabilization of jumbo phages," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    10. Bret M. Boyd & Ian James & Kevin P. Johnson & Robert B. Weiss & Sarah E. Bush & Dale H. Clayton & Colin Dale, 2024. "Stochasticity, determinism, and contingency shape genome evolution of endosymbiotic bacteria," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    11. Jun-Yu Si & Yuan-Mei Chen & Ye-Hui Sun & Meng-Xue Gu & Mei-Ling Huang & Lu-Lu Shi & Xiao Yu & Xiao Yang & Qing Xiong & Cheng-Bao Ma & Peng Liu & Zheng-Li Shi & Huan Yan, 2024. "Sarbecovirus RBD indels and specific residues dictating multi-species ACE2 adaptiveness," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    12. Deyun Qiu & Jinxin V. Pei & James E. O. Rosling & Vandana Thathy & Dongdi Li & Yi Xue & John D. Tanner & Jocelyn Sietsma Penington & Yi Tong Vincent Aw & Jessica Yi Han Aw & Guoyue Xu & Abhai K. Tripa, 2022. "A G358S mutation in the Plasmodium falciparum Na+ pump PfATP4 confers clinically-relevant resistance to cipargamin," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    13. Shuo-Shuo Liu & Tian-Xia Jiang & Fan Bu & Ji-Lan Zhao & Guang-Fei Wang & Guo-Heng Yang & Jie-Yan Kong & Yun-Fan Qie & Pei Wen & Li-Bin Fan & Ning-Ning Li & Ning Gao & Xiao-Bo Qiu, 2024. "Molecular mechanisms underlying the BIRC6-mediated regulation of apoptosis and autophagy," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    14. Ahrum Son & Hyunsoo Kim & Jolene K. Diedrich & Casimir Bamberger & Daniel B. McClatchy & Stuart A. Lipton & John R. Yates, 2024. "Using in vivo intact structure for system-wide quantitative analysis of changes in proteins," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    15. Justin N. Vaughn & Sandra E. Branham & Brian Abernathy & Amanda M. Hulse-Kemp & Adam R. Rivers & Amnon Levi & William P. Wechter, 2022. "Graph-based pangenomics maximizes genotyping density and reveals structural impacts on fungal resistance in melon," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    16. Eliza S. Nieweglowska & Axel F. Brilot & Melissa Méndez-Moran & Claire Kokontis & Minkyung Baek & Junrui Li & Yifan Cheng & David Baker & Joseph Bondy-Denomy & David A. Agard, 2023. "The ϕPA3 phage nucleus is enclosed by a self-assembling 2D crystalline lattice," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    17. Sash Lopaticki & Robyn McConville & Alan John & Niall Geoghegan & Shihab Deen Mohamed & Lisa Verzier & Ryan W. J. Steel & Cindy Evelyn & Matthew T. O’Neill & Niccolay Madiedo Soler & Nichollas E. Scot, 2022. "Tryptophan C-mannosylation is critical for Plasmodium falciparum transmission," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    18. Radoslaw Pluta & Eric Aragón & Nicholas A. Prescott & Lidia Ruiz & Rebeca A. Mees & Blazej Baginski & Julia R. Flood & Pau Martin-Malpartida & Joan Massagué & Yael David & Maria J. Macias, 2022. "Molecular basis for DNA recognition by the maternal pioneer transcription factor FoxH1," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    19. Xinheng He & Lifen Zhao & Yinping Tian & Rui Li & Qinyu Chu & Zhiyong Gu & Mingyue Zheng & Yusong Wang & Shaoning Li & Hualiang Jiang & Yi Jiang & Liuqing Wen & Dingyan Wang & Xi Cheng, 2024. "Highly accurate carbohydrate-binding site prediction with DeepGlycanSite," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    20. Xiaoke Yang & Mingqi Zhu & Xue Lu & Yuxin Wang & Junyu Xiao, 2024. "Architecture and activation of human muscle phosphorylase kinase," Nature Communications, Nature, vol. 15(1), pages 1-14, 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:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-36065-3. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.