Evidence map›Paper›PMID 28538143›Full record

ArticleBiophysical journal2017

OpenRBC: A Fast Simulator of Red Blood Cells at Protein Resolution.

Yu-Hang Tang, Lu Lu, He Li, Constantinos Evangelinos, Leopold Grinberg, Vipin Sachdeva, George Em Karniadakis

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in Biophysical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
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

28 citing papers in PubMed, 65 citations in OpenAlex.

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  8. Biomechanics of phagocytosis of red blood cells by macrophages in the human spleen.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

7 authors at 1 institution in 1 country.

Yu-Hang TangDivision of Applied Mathematics, Brown University, Providence, Rhode Island.
Lu LuDivision of Applied Mathematics, Brown University, Providence, Rhode Island.
He LiDivision of Applied Mathematics, Brown University, Providence, Rhode Island.
Constantinos EvangelinosIBM T.J. Watson Research Center, Cambridge, Massachusetts.
Leopold GrinbergIBM T.J. Watson Research Center, Cambridge, Massachusetts.
Vipin SachdevaIBM T.J. Watson Research Center, Cambridge, Massachusetts.
George Em KarniadakisDivision of Applied Mathematics, Brown University, Providence, Rhode Island. Electronic address: george_karniadakis@brown.edu.
Brown University · US

Funding

Multiscale Modeling of Sickle Cell Anemia: Methods and ValidationU01HL114476 · NHLBI · BROWN UNIVERSITY · PI DAO, MING, HIGGINS, JOHN MATTHEW · 2013 to 2017
$3.9M
Multiscale, Multiphysics Model of Thrombus Biomechanics in Aortic DissectionU01HL116323 · NHLBI · YALE UNIVERSITY · PI HUMPHREY, JAY D., KARNIADAKIS, GEORGE · 2013 to 2017
$2.4M
NHLBI NIH HHS U01 HL114476NHLBI NIH HHS U01 HL116323
6 · The paper itself

Abstract

We present OpenRBC, a coarse-grained molecular dynamics code, which is capable of performing an unprecedented in silico experiment-simulating an entire mammal red blood cell lipid bilayer and cytoskeleton as modeled by multiple millions of mesoscopic particles-using a single shared memory commodity workstation. To achieve this, we invented an adaptive spatial-searching algorithm to accelerate the computation of short-range pairwise interactions in an extremely sparse three-dimensional space. The algorithm is based on a Voronoi partitioning of the point cloud of coarse-grained particles, and is continuously updated over the course of the simulation. The algorithm enables the construction of the key spatial searching data structure in our code, i.e., a lattice-free cell list, with a time and space cost linearly proportional to the number of particles in the system. The position and the shape of the cells also adapt automatically to the local density and curvature. The code implements OpenMP parallelization and scales to hundreds of hardware threads. It outperforms a legacy simulator by almost an order of magnitude in time-to-solution and >40 times in problem size, thus providing, to our knowledge, a new platform for probing the biomechanics of red blood cells.

Indexed as

Molecular Dynamics SimulationSoftwareAlgorithmsAnimalsCell MembraneCluster AnalysisCytoskeletonErythrocytesModels, Cardiovascular

Identifiers

PMID28538143
PMCPMC5444005
OpenAlexW2572754096

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.