IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0256895.html
   My bibliography  Save this article

The register shift rules for βαβ-motifs for de novo protein design

Author

Listed:
  • Hiroto Murata
  • Hayao Imakawa
  • Nobuyasu Koga
  • George Chikenji

Abstract

A wide range of de novo design of αβ-proteins has been achieved based on the design rules, which describe secondary structure lengths and loop torsion patterns favorable for design target topologies. This paper proposes design rules for register shifts in βαβ-motifs, which have not been reported previously, but are necessary for determining a target structure of de novo design of αβ-proteins. By analyzing naturally occurring protein structures in a database, we found preferences for register shifts in βαβ-motifs, and derived the following empirical rules: (1) register shifts must not be negative regardless of torsion types for a constituent loop in βαβ-motifs; (2) preferred register shifts strongly depend on the loop torsion types. To explain these empirical rules by physical interactions, we conducted physics-based simulations for systems mimicking a βαβ-motif that contains the most frequently observed loop type in the database. We performed an exhaustive conformational sampling of the loop region, imposing the exclusion volume and hydrogen bond satisfaction condition. The distributions of register shifts obtained from the simulations agreed well with those of the database analysis, indicating that the empirical rules are a consequence of physical interactions, rather than an evolutionary sampling bias. Our proposed design rules will serve as a guide to making appropriate target structures for the de novo design of αβ-proteins.

Suggested Citation

  • Hiroto Murata & Hayao Imakawa & Nobuyasu Koga & George Chikenji, 2021. "The register shift rules for βαβ-motifs for de novo protein design," PLOS ONE, Public Library of Science, vol. 16(8), pages 1-24, August.
  • Handle: RePEc:plo:pone00:0256895
    DOI: 10.1371/journal.pone.0256895
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0256895
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0256895&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0256895?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. 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.
    Full references (including those not matched with items on IDEAS)

    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. Thomas W. Linsky & Kyle Noble & Autumn R. Tobin & Rachel Crow & Lauren Carter & Jeffrey L. Urbauer & David Baker & Eva-Maria Strauch, 2022. "Sampling of structure and sequence space of small protein folds," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    2. Marc Corrales & Pol Cuscó & Dinara R Usmanova & Heng-Chang Chen & Natalya S Bogatyreva & Guillaume J Filion & Dmitry N Ivankov, 2015. "Machine Learning: How Much Does It Tell about Protein Folding Rates?," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-12, November.
    3. 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.
    4. Anindya Roy & Lei Shi & Ashley Chang & Xianchi Dong & Andres Fernandez & John C. Kraft & Jing Li & Viet Q. Le & Rebecca Viazzo Winegar & Gerald Maxwell Cherf & Dean Slocum & P. Daniel Poulson & Garret, 2023. "De novo design of highly selective miniprotein inhibitors of integrins αvβ6 and αvβ8," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    5. Kozyrev, S.V. & Volovich, I.V., 2014. "Quinary lattice model of secondary structures of polymers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 86-95.
    6. Lindsey A. Doyle & Brittany Takushi & Ryan D. Kibler & Lukas F. Milles & Carolina T. Orozco & Jonathan D. Jones & Sophie E. Jackson & Barry L. Stoddard & Philip Bradley, 2023. "De novo design of knotted tandem repeat proteins," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    7. 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.
    8. Jaume Bonet & Sarah Wehrle & Karen Schriever & Che Yang & Anne Billet & Fabian Sesterhenn & Andreas Scheck & Freyr Sverrisson & Barbora Veselkova & Sabrina Vollers & Roxanne Lourman & Mélanie Villard , 2018. "Rosetta FunFolDes – A general framework for the computational design of functional proteins," PLOS Computational Biology, Public Library of Science, vol. 14(11), pages 1-30, November.
    9. Sagar D Khare & Timothy A Whitehead, 2015. "Introduction to the Rosetta Special Collection," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-5, December.
    10. Pralay Mitra & David Shultis & Jeffrey R Brender & Jeff Czajka & David Marsh & Felicia Gray & Tomasz Cierpicki & Yang Zhang, 2013. "An Evolution-Based Approach to De Novo Protein Design and Case Study on Mycobacterium tuberculosis," PLOS Computational Biology, Public Library of Science, vol. 9(10), pages 1-18, October.
    11. Willow Coyote-Maestas & David Nedrud & Antonio Suma & Yungui He & Kenneth A. Matreyek & Douglas M. Fowler & Vincenzo Carnevale & Chad L. Myers & Daniel Schmidt, 2021. "Probing ion channel functional architecture and domain recombination compatibility by massively parallel domain insertion profiling," Nature Communications, Nature, vol. 12(1), pages 1-16, December.
    12. Rebecca F Alford & Andrew Leaver-Fay & Lynda Gonzales & Erin L Dolan & Jeffrey J Gray, 2017. "A cyber-linked undergraduate research experience in computational biomolecular structure prediction and design," PLOS Computational Biology, Public Library of Science, vol. 13(12), pages 1-13, 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:plo:pone00:0256895. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.