Evidence map›Paper›PMID 25271078›Full record

ArticleProtein science : a publication of the Protein Society2014

Linking 3D and 2D binding kinetics of membrane proteins by multiscale simulations.

Zhong-Ru Xie, Jiawen Chen, Yinghao Wu

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

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  18. Cadherin Extracellular Domain Clustering in the Absence ofThe journal of physical chemistry letters · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Zhong-Ru XieDepartment of Systems and Computational Biology, Albert Einstein College of Medicine of Yeshiva University, Bronx, New York, 10461.
Jiawen Chen
Yinghao Wu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Membrane proteins are among the most functionally important proteins in cells. Unlike soluble proteins, they only possess two translational degrees of freedom on cell surfaces, and experience significant constraints on their rotations. As a result, it is currently challenging to characterize the in situ binding of membrane proteins. Using the membrane receptors CD2 and CD58 as a testing system, we developed a multiscale simulation framework to study the differences of protein binding kinetics between 3D and 2D environments. The association and dissociation processes were implemented by a coarse-grained Monte-Carlo algorithm, while the dynamic properties of proteins diffusing on lipid bilayer were captured from all-atom molecular dynamic simulations. Our simulations show that molecular diffusion, linker flexibility and membrane fluctuations are important factors in adjusting binding kinetics. Moreover, by calibrating simulation parameters to the measurements of 3D binding, we derived the 2D binding constant which is quantitatively consistent with the experimental data, indicating that the method is able to capture the difference between 3D and 2D binding environments. Finally, we found that the 2D dissociation between CD2 and CD58 is about 100-fold slower than the 3D dissociation. In summary, our simulation framework offered a generic approach to study binding mechanisms of membrane proteins.

Indexed as

AlgorithmsCD2 AntigensCD58 AntigensDiffusionKineticsMolecular Dynamics SimulationMonte Carlo MethodProtein BindingCD2 AntigensCD58 Antigensbinding kineticscoarse-grained modelmembrane proteinsmultiscale simulation

Identifiers

PMID25271078
PMCPMC4253819

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.