IDEAS home Printed from https://ideas.repec.org/a/plo/pcbi00/1005450.html
   My bibliography  Save this article

Migration of small ligands in globins: Xe diffusion in truncated hemoglobin N

Author

Listed:
  • Polydefkis Diamantis
  • Oliver T Unke
  • Markus Meuwly

Abstract

In heme proteins, the efficient transport of ligands such as NO or O2 to the binding site is achieved via ligand migration networks. A quantitative assessment of ligand diffusion in these networks is thus essential for a better understanding of the function of these proteins. For this, Xe migration in truncated hemoglobin N (trHbN) of Mycobacterium Tuberculosis was studied using molecular dynamics simulations. Transitions between pockets of the migration network and intra-pocket relaxation occur on similar time scales (10 ps and 20 ps), consistent with low free energy barriers (1-2 kcal/mol). Depending on the pocket from where Xe enters a particular transition, the conformation of the side chains lining the transition region differs which highlights the coupling between ligand and protein degrees of freedom. Furthermore, comparison of transition probabilities shows that Xe migration in trHbN is a non-Markovian process. Memory effects arise due to protein rearrangements and coupled dynamics as Xe moves through it.Author summary: Binding and transport of ligands in proteins is essential, in particular in globular proteins which often exhibit internal cavities. In truncated Hemoglobin N (trHbN) these cavities are arranged as a network with particular connectivities. The present work supports the notion that ligand diffusion in trHbN is an active process and coupled to the protein dynamics. Furthermore, transition probabilities between neighboring pockets depend on the location from where the ligand entered the transition, which is typical for non-Markovian processes. Hence, ligand migration in trHbN exhibits memory effects due to dynamical coupling between the protein and ligand motion.

Suggested Citation

  • Polydefkis Diamantis & Oliver T Unke & Markus Meuwly, 2017. "Migration of small ligands in globins: Xe diffusion in truncated hemoglobin N," PLOS Computational Biology, Public Library of Science, vol. 13(3), pages 1-22, March.
  • Handle: RePEc:plo:pcbi00:1005450
    DOI: 10.1371/journal.pcbi.1005450
    as

    Download full text from publisher

    File URL: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005450
    Download Restriction: no

    File URL: https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1005450&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pcbi.1005450?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. Matteo Levantino & Giorgio Schirò & Henrik Till Lemke & Grazia Cottone & James Michael Glownia & Diling Zhu & Mathieu Chollet & Hyotcherl Ihee & Antonio Cupane & Marco Cammarata, 2015. "Ultrafast myoglobin structural dynamics observed with an X-ray free-electron laser," Nature Communications, Nature, vol. 6(1), pages 1-6, November.
    2. Daniel-Adriano Silva & Gregory R Bowman & Alejandro Sosa-Peinado & Xuhui Huang, 2011. "A Role for Both Conformational Selection and Induced Fit in Ligand Binding by the LAO Protein," PLOS Computational Biology, Public Library of Science, vol. 7(5), pages 1-11, May.
    3. Nuria Plattner & Frank Noé, 2015. "Protein conformational plasticity and complex ligand-binding kinetics explored by atomistic simulations and Markov models," Nature Communications, Nature, vol. 6(1), pages 1-10, November.
    4. 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.
    5. Shuo Gu & Daniel-Adriano Silva & Luming Meng & Alexander Yue & Xuhui Huang, 2014. "Quantitatively Characterizing the Ligand Binding Mechanisms of Choline Binding Protein Using Markov State Model Analysis," PLOS Computational Biology, Public Library of Science, vol. 10(8), pages 1-11, August.
    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. Kalyan S. Chakrabarti & Simon Olsson & Supriya Pratihar & Karin Giller & Kerstin Overkamp & Ko On Lee & Vytautas Gapsys & Kyoung-Seok Ryu & Bert L. Groot & Frank Noé & Stefan Becker & Donghan Lee & Th, 2022. "A litmus test for classifying recognition mechanisms of transiently binding proteins," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    2. Shuo Gu & Daniel-Adriano Silva & Luming Meng & Alexander Yue & Xuhui Huang, 2014. "Quantitatively Characterizing the Ligand Binding Mechanisms of Choline Binding Protein Using Markov State Model Analysis," PLOS Computational Biology, Public Library of Science, vol. 10(8), pages 1-11, August.
    3. Meiying Cui & Dzung Nguyen & Michelle Patino Gaillez & Stephan Heiden & Weilin Lin & Michael Thompson & Francesco V. Reddavide & Qinchang Chen & Yixin Zhang, 2023. "Trio-pharmacophore DNA-encoded chemical library for simultaneous selection of fragments and linkers," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    4. Trayder Thomas & Benoît Roux, 2021. "Tyrosine kinases: complex molecular systems challenging computational methodologies," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 94(10), pages 1-13, October.
    5. Hongyu Zhou & Zheng Dong & Gennady Verkhivker & Brian D Zoltowski & Peng Tao, 2019. "Allosteric mechanism of the circadian protein Vivid resolved through Markov state model and machine learning analysis," PLOS Computational Biology, Public Library of Science, vol. 15(2), pages 1-28, February.
    6. Patrick G Blachly & César A F de Oliveira & Sarah L Williams & J Andrew McCammon, 2013. "Utilizing a Dynamical Description of IspH to Aid in the Development of Novel Antimicrobial Drugs," PLOS Computational Biology, Public Library of Science, vol. 9(12), pages 1-13, December.
    7. Narjes Ansari & Valerio Rizzi & Michele Parrinello, 2022. "Water regulates the residence time of Benzamidine in Trypsin," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    8. Lin-Tai Da & Fátima Pardo Avila & Dong Wang & Xuhui Huang, 2013. "A Two-State Model for the Dynamics of the Pyrophosphate Ion Release in Bacterial RNA Polymerase," PLOS Computational Biology, Public Library of Science, vol. 9(4), pages 1-9, April.
    9. Hanlun Jiang & Fu Kit Sheong & Lizhe Zhu & Xin Gao & Julie Bernauer & Xuhui Huang, 2015. "Markov State Models Reveal a Two-Step Mechanism of miRNA Loading into the Human Argonaute Protein: Selective Binding followed by Structural Re-arrangement," PLOS Computational Biology, Public Library of Science, vol. 11(7), pages 1-21, July.

    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:pcbi00:1005450. 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.