Evidence map›Paper›PMID 31758956›Full record

ArticleBiochimica et biophysica acta. Molecular cell research2020

Multiscale simulation unravel the kinetic mechanisms of inflammasome assembly.

Zhaoqian Su, Yinghao Wu

Abstract read
In one paragraph

Article in Biochimica et biophysica acta. Molecular cell research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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.

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

5 citing papers in PubMed.

  1. Article
  2. Protein assembly and crowding simulations.Current opinion in structural biology · 2022
    Review
  3. Article
  4. Article
  5. Article
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

2 authors.

Zhaoqian SuDepartment of Systems and Computational Biology, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, United States of America.
Yinghao WuDepartment of Systems and Computational Biology, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, United States of America. Electronic address: yinghao.wu@einstein.yu.edu.

Funding

A multiscale model for binding kinetics of membrane receptors on cell surfacesR01GM120238 · NIGMS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI WU, YINGHAO · 2016 to 2020
$1.6M
Computational models for the signaling of tumor necrosis factor receptor on cell surfacesR01GM122804 · NIGMS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI WU, YINGHAO · 2017 to 2020
$1.3M
NIGMS NIH HHS R01 GM120238NIGMS NIH HHS R01 GM122804
6 · The paper itself

Abstract

In the innate immune system, the host defense from the invasion of external pathogens triggers the inflammatory responses. Proteins involved in the inflammatory pathways were often found to aggregate into supramolecular oligomers, called 'inflammasome', mostly through the homotypic interaction between their domains that belong to the death domain superfamily. Although much has been known about the formation of these helical molecular machineries, the detailed correlation between the dynamics of their assembly and the structure of each domain is still not well understood. Using the filament formed by the PYD domains of adaptor molecule ASC as a test system, we constructed a new multiscale simulation framework to study the kinetics of inflammasome assembly. We found that the filament assembly is a multi-step, but highly cooperative process. Moreover, there are three types of binding interfaces between domain subunits in the ASC

Indexed as

Molecular Dynamics SimulationAlgorithmsBinding SitesCARD Signaling Adaptor ProteinsCryoelectron MicroscopyHumansInflammasomesKineticsMonte Carlo MethodCARD Signaling Adaptor ProteinsInflammasomesPYCARD protein, humanComplex assemblyComputational simulationInflammasomeInnate immune systemMultiscale modeling

Identifiers

PMID31758956
PMCPMC7307778

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Registered trials

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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.