Evidence map›Paper›PMID 39960300›Full record

ArticleJournal of chemical theory and computation2025

Multiscale Simulations of Membrane Adhesion Mediated by CD47-SIRPα Complexes.

Ruihan Hou, Shuanglong Ren, Rong Wang, Bartosz Różycki, Jinglei Hu

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Ruihan HouKuang Yaming Honors School, Nanjing University, Nanjing 210023, China.
Shuanglong RenKuang Yaming Honors School, Nanjing University, Nanjing 210023, China.
Rong WangDepartment of Polymer Science and Engineering, Key Laboratory of High Performance Polymer Material and Technology of Ministry of Education, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China.ORCID 0000-0001-7525-1400
Bartosz RóżyckiInstitute of Physics, Polish Academy of Sciences, Aleja Lotników 32/46, Warsaw 02-668, Poland.ORCID 0000-0001-5938-7308
Jinglei HuKuang Yaming Honors School, Nanjing University, Nanjing 210023, China.ORCID 0000-0002-5758-2879

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adhesion of biological cells is essential for various processes, including tissue formation, immune responses, and signaling. It involves multiple length scales, ranging from nanometers to micrometers, which are characteristic of (a) the intercellular receptor-ligand binding that mediates the cell adhesion, (b) the spatial distribution of the receptor and ligand proteins in the membranes of adhering cells, (c) adhesion-induced deformations and thermal undulations of the membranes, (d) the overall size of the interface between adhering cells. Therefore, computer simulations of cell membrane adhesion require multiscale modeling and suitable approximations that capture the essential physics of the system under study. Here, we introduce such a multiscale approach to study membrane adhesion mediated by the CD47-SIRPα binding, which is an immunologically relevant process. The synergetic use of coarse-grained molecular dynamics simulations and mesoscale kinetic Monte Carlo simulations allows us to explore both equilibrium properties and dynamical behavior of adhering membranes on the relevant length scales between 1 nm and 1 μm on time scales ranging from 0.1 ns all the way up to about 20 s. The multiscale simulations not only reproduce available experimental data but also give quantitative predictions on binding-induced conformational changes of SIRPα and membrane-mediated cooperativity of the CD47-SIRPα binding as well as fluctuation-induced interactions between the CD47-SIRPα complexes. Our approach is applicable to various membrane proteins and provides invaluable data for comparison with experimental findings.

Indexed as

Antigens, DifferentiationCD47 AntigenCell MembraneMolecular Dynamics SimulationReceptors, ImmunologicCell AdhesionHumansMonte Carlo MethodProtein BindingAntigens, DifferentiationCD47 AntigenReceptors, ImmunologicSIRPA protein, human

Identifiers

PMID39960300
PMCPMC11866742

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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.