IDEAS home Printed from https://ideas.repec.org/a/plo/pcbi00/1007966.html
   My bibliography  Save this article

Effect of magnitude and variability of energy of activation in multisite ultrasensitive biochemical processes

Author

Listed:
  • Leonila Lagunes
  • Lee Bardwell
  • German A Enciso

Abstract

Protein activity is often regulated by ligand binding or by post-translational modifications such as phosphorylation. Moreover, proteins that are regulated in this way often contain multiple ligand binding sites or modification sites, which can operate to create an ultrasensitive dose response. Here, we consider the contribution of the individual modification/binding sites to the activation process, and how their individual values affect the ultrasensitive behavior of the overall system. We use a generalized Monod-Wyman-Changeux (MWC) model that allows for variable conformational free energy contributions from distinct sites, and associate a so-called activation parameter to each site. Our analysis shows that the ultrasensitivity generally increases as the conformational free energy contribution from one or more sites is strengthened. Furthermore, ultrasensitivity depends on the mean of the activation parameters and not on their variability. In some cases, we find that the best way to maximize ultrasensitivity is to make the contribution from all sites as strong as possible. These results provide insights into the performance objectives of multiple modification/binding sites and thus help gain a greater understanding of signaling and its role in diseases.Author summary: Multisite protein modification is ubiquitous in gene regulation and signal transduction, often in the form of multisite phosphorylation. Many models of multisite ultrasensitivity are available in the literature, but they usually assume that all sites contribute equally to the activation of the multisite target. In this work, we relax this assumption and carry out computational and mathematical analysis of a multisite system in which the conformational free energy contribution varies across sites. We find that the ultrasensitivity of the system tends to increase (with some exceptions) when the conformational free energy contributed by any given site is strengthened. Our analysis predicts that all active sites should have approximately the same conformational free energy contribution, a property observed in proteins with unstructured modification domains and bulk electrostatics. We were also able to predict from first principles an energy range of -2 to -4 kcal/mol per site that effectively maximizes ultrasensitive behavior. This prediction is consistent with experimental measurements in phosphorylation sites. Another strategy predicted by some of our models is to select a subset of the sites and activate them uniformly, while silencing other modification sites in the protein. This strategy is also observed experimentally in many multisite phosphorylation proteins.

Suggested Citation

  • Leonila Lagunes & Lee Bardwell & German A Enciso, 2020. "Effect of magnitude and variability of energy of activation in multisite ultrasensitive biochemical processes," PLOS Computational Biology, Public Library of Science, vol. 16(8), pages 1-26, August.
  • Handle: RePEc:plo:pcbi00:1007966
    DOI: 10.1371/journal.pcbi.1007966
    as

    Download full text from publisher

    File URL: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007966
    Download Restriction: no

    File URL: https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1007966&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pcbi.1007966?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. Germán Enciso & Douglas R Kellogg & Arturo Vargas, 2014. "Compact Modeling of Allosteric Multisite Proteins: Application to a Cell Size Checkpoint," PLOS Computational Biology, Public Library of Science, vol. 10(2), pages 1-12, February.
    2. Sergio Zonszein & Laura I Álvarez-Añorve & Roberto J Vázquez-Núñez & Mario L Calcagno, 2014. "The Tertiary Origin of the Allosteric Activation of E. coli Glucosamine-6-Phosphate Deaminase Studied by Sol-Gel Nanoencapsulation of Its T Conformer," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-9, May.
    3. Hesam N. Motlagh & James O. Wrabl & Jing Li & Vincent J. Hilser, 2014. "The ensemble nature of allostery," Nature, Nature, vol. 508(7496), pages 331-339, April.
    4. Bruno MC Martins & Peter S Swain, 2011. "Trade-Offs and Constraints in Allosteric Sensing," PLOS Computational Biology, Public Library of Science, vol. 7(11), pages 1-13, 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. Jonathan Schubert & Andrea Schulze & Chrisostomos Prodromou & Hannes Neuweiler, 2021. "Two-colour single-molecule photoinduced electron transfer fluorescence imaging microscopy of chaperone dynamics," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    2. Zhihong Xiao & Jinyin Zha & Xu Yang & Tingting Huang & Shuxin Huang & Qi Liu & Xiaozheng Wang & Jie Zhong & Jianting Zheng & Rubing Liang & Zixin Deng & Jian Zhang & Shuangjun Lin & Shaobo Dai, 2024. "A three-level regulatory mechanism of the aldo-keto reductase subfamily AKR12D," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    3. Zhong Guo & Oleh Smutok & Wayne A. Johnston & Patricia Walden & Jacobus P. J. Ungerer & Thomas S. Peat & Janet Newman & Jake Parker & Tom Nebl & Caryn Hepburn & Artem Melman & Richard J. Suderman & Ev, 2021. "Design of a methotrexate-controlled chemical dimerization system and its use in bio-electronic devices," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    4. Muir Morrison & Manuel Razo-Mejia & Rob Phillips, 2021. "Reconciling kinetic and thermodynamic models of bacterial transcription," PLOS Computational Biology, Public Library of Science, vol. 17(1), pages 1-30, January.
    5. Yuya Nishida & Sachiko Yanagisawa & Rikuri Morita & Hideki Shigematsu & Kyoko Shinzawa-Itoh & Hitomi Yuki & Satoshi Ogasawara & Ken Shimuta & Takashi Iwamoto & Chisa Nakabayashi & Waka Matsumura & His, 2022. "Identifying antibiotics based on structural differences in the conserved allostery from mitochondrial heme-copper oxidases," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    6. David P. Tilly & Jean-Paul Heeb & Simon J. Webb & Jonathan Clayden, 2023. "Switching imidazole reactivity by dynamic control of tautomer state in an allosteric foldamer," Nature Communications, Nature, vol. 14(1), pages 1-7, December.
    7. György Abrusán & Aleksej Zelezniak, 2024. "Cellular location shapes quaternary structure of enzymes," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    8. Luhao Zhang & Maodong Li & Zhirong Liu, 2018. "A comprehensive ensemble model for comparing the allosteric effect of ordered and disordered proteins," PLOS Computational Biology, Public Library of Science, vol. 14(12), pages 1-22, December.
    9. Manuel Weh & Kazutaka Shoyama & Frank Würthner, 2023. "Preferential molecular recognition of heterochiral guests within a cyclophane receptor," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    10. Federica Maschietto & Uriel N. Morzan & Florentina Tofoleanu & Aria Gheeraert & Apala Chaudhuri & Gregory W. Kyro & Peter Nekrasov & Bernard Brooks & J. Patrick Loria & Ivan Rivalta & Victor S. Batist, 2023. "Turning up the heat mimics allosteric signaling in imidazole-glycerol phosphate synthase," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    11. Marko Novinec, 2017. "Computational investigation of conformational variability and allostery in cathepsin K and other related peptidases," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-22, August.
    12. Zhong Guo & Rinky D. Parakra & Ying Xiong & Wayne A. Johnston & Patricia Walden & Selvakumar Edwardraja & Shayli Varasteh Moradi & Jacobus P. J. Ungerer & Hui-wang Ai & Jonathan J. Phillips & Kirill A, 2022. "Engineering and exploiting synthetic allostery of NanoLuc luciferase," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    13. Yichen Yu & Robert T. O’Neill & Roman Boulatov & Ross A. Widenhoefer & Stephen L. Craig, 2023. "Allosteric control of olefin isomerization kinetics via remote metal binding and its mechanochemical analysis," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    14. Robert Kalescky & Hongyu Zhou & Jin Liu & Peng Tao, 2016. "Rigid Residue Scan Simulations Systematically Reveal Residue Entropic Roles in Protein Allostery," PLOS Computational Biology, Public Library of Science, vol. 12(4), pages 1-21, April.

    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:pcbi00:1007966. 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: ploscompbiol (email available below). General contact details of provider: https://journals.plos.org/ploscompbiol/ .

    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.