Literature DB >> 24511927

A coarse-grained model for the simulations of biomolecular interactions in cellular environments.

Zhong-Ru Xie1, Jiawen Chen1, Yinghao Wu1.   

Abstract

The interactions of bio-molecules constitute the key steps of cellular functions. However, in vivo binding properties differ significantly from their in vitro measurements due to the heterogeneity of cellular environments. Here we introduce a coarse-grained model based on rigid-body representation to study how factors such as cellular crowding and membrane confinement affect molecular binding. The macroscopic parameters such as the equilibrium constant and the kinetic rate constant are calibrated by adjusting the microscopic coefficients used in the numerical simulations. By changing these model parameters that are experimentally approachable, we are able to study the kinetic and thermodynamic properties of molecular binding, as well as the effects caused by specific cellular environments. We investigate the volumetric effects of crowded intracellular space on bio-molecular diffusion and diffusion-limited reactions. Furthermore, the binding constants of membrane proteins are currently difficult to measure. We provide quantitative estimations about how the binding of membrane proteins deviates from soluble proteins under different degrees of membrane confinements. The simulation results provide biological insights to the functions of membrane receptors on cell surfaces. Overall, our studies establish a connection between the details of molecular interactions and the heterogeneity of cellular environments.

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Year:  2014        PMID: 24511927     DOI: 10.1063/1.4863992

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  17 in total

1.  A Computational Model for Kinetic Studies of Cadherin Binding and Clustering.

Authors:  Jiawen Chen; Jillian Newhall; Zhong-Ru Xie; Deborah Leckband; Yinghao Wu
Journal:  Biophys J       Date:  2016-10-04       Impact factor: 4.033

2.  Understand the Functions of Scaffold Proteins in Cell Signaling by a Mesoscopic Simulation Method.

Authors:  Zhaoqian Su; Kalyani Dhusia; Yinghao Wu
Journal:  Biophys J       Date:  2020-10-14       Impact factor: 4.033

3.  A Multiscale Computational Model for Simulating the Kinetics of Protein Complex Assembly.

Authors:  Jiawen Chen; Yinghao Wu
Journal:  Methods Mol Biol       Date:  2018

4.  A Multiscale Model for the Self-Assembly of Coat Proteins in Bacteriophage MS2.

Authors:  Bo Wang; Junjie Zhang; Yinghao Wu
Journal:  J Chem Inf Model       Date:  2019-08-23       Impact factor: 4.956

5.  Integrating Structural Information to Study the Dynamics of Protein-Protein Interactions in Cells.

Authors:  Bo Wang; Zhong-Ru Xie; Jiawen Chen; Yinghao Wu
Journal:  Structure       Date:  2018-08-30       Impact factor: 5.006

6.  On the formation of ordered protein assemblies in cell-cell interfaces.

Authors:  Nadir Boni; Lawrence Shapiro; Barry Honig; Yinghao Wu; Rotem Rubinstein
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-15       Impact factor: 12.779

7.  Cadherin clusters stabilized by a combination of specific and nonspecific cis-interactions.

Authors:  Connor J Thompson; Zhaoqian Su; Vinh H Vu; Yinghao Wu; Deborah E Leckband; Daniel K Schwartz
Journal:  Elife       Date:  2020-09-02       Impact factor: 8.140

8.  Multiscale simulation unravel the kinetic mechanisms of inflammasome assembly.

Authors:  Zhaoqian Su; Yinghao Wu
Journal:  Biochim Biophys Acta Mol Cell Res       Date:  2019-11-21       Impact factor: 4.739

9.  Excluded volume effects in on- and off-lattice reaction-diffusion models.

Authors:  Lina Meinecke; Markus Eriksson
Journal:  IET Syst Biol       Date:  2017-04       Impact factor: 1.615

10.  Mechanistic dissection of spatial organization in NF-κB signaling pathways by hybrid simulations.

Authors:  Yinghao Wu; Kalyani Dhusia; Zhaoqian Su
Journal:  Integr Biol (Camb)       Date:  2021-05-18       Impact factor: 2.192

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