IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v534y2019ics0378437119311823.html
   My bibliography  Save this article

Unusual dynamics of hydration water around motor proteins with long-ranged hydrodynamic fluctuations

Author

Listed:
  • Sharma, Shivangi
  • Biswas, Parbati

Abstract

A fluctuation-driven dynamic model is formulated to study the translational diffusion of water molecules around the surface of motor proteins under the combined influence of the thermal fluctuations and the external active forces. The dynamics of such a system, explored within the tenets of generalized Langevin equation is captured by two different models that characterizes the interplay between the active and thermal fluctuations. The results establish that hydration water dynamics is primarily super-diffusive when the active conformational fluctuations of motor proteins outweigh the random thermal fluctuations in the environment. The conformational fluctuations of protein disrupts the hydrogen bonded network of water and enhances its dynamics in a homogeneous environment. First passage time distribution and the survival probability are evaluated from the effective Fokker–Planck equation for both models under two different boundary conditions. The results depict an asymmetric unimodal distribution of FPTD with curves of varying amplitudes obtained at definite intervals of time for two different models. The FPT distribution of water molecules displays broad peaks with a lower amplitude for the hydration layers of increasing thickness. The survival probability of hydration water molecules exhibits a stretched exponential decay for both models with a faster decay rate for the super-diffusive dynamics as compared to the sub-diffusive motion. The water molecule displays a longer residence time within the hydration layer bounded by an absorbing–reflecting boundary as compared to an absorbing–absorbing one.

Suggested Citation

  • Sharma, Shivangi & Biswas, Parbati, 2019. "Unusual dynamics of hydration water around motor proteins with long-ranged hydrodynamic fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
  • Handle: RePEc:eee:phsmap:v:534:y:2019:i:c:s0378437119311823
    DOI: 10.1016/j.physa.2019.122045
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437119311823
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2019.122045?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Olivares-Rivas, Wilmer & Colmenares, Pedro J., 2016. "The generalized Langevin equation revisited: Analytical expressions for the persistence dynamics of a viscous fluid under a time dependent external force," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 76-94.
    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. Xiao, Bo & Li, Renfu, 2019. "Work fluctuation and its optimal extraction with time dependent harmonic potential from a non-Markovian bath," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 161-171.
    2. Wang, Huiqi & Ni, Feixiang & Lin, Lifeng & Lv, Wangyong & Zhu, Hongqiang, 2018. "Transport behaviors of locally fractional coupled Brownian motors with fluctuating interactions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 124-135.

    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:eee:phsmap:v:534:y:2019:i:c:s0378437119311823. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.