Evidence map›Paper›PMID 36313535›Full record

ArticleSTAR protocols2022

Implementing a global approach for efficiently simulating molecular dynamics in agent-based models of biological tissue.

Daniel Bergman, Trachette L Jackson

Abstract read
In one paragraph

Article in STAR protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Daniel BergmanDepartment of Mathematics, University of Michigan, Ann Arbor, MI 48109, USA. Electronic address: bergmand@umich.edu.
Trachette L JacksonDepartment of Mathematics, University of Michigan, Ann Arbor, MI 48109, USA. Electronic address: tjacks@umich.edu.

Funding

Multiscale Computational Models Guided By Emerging Cellular Dynamics Quantification For Predicting Optimum Immune Checkpoint And Targeted Therapy SchedulesU01CA243075 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JACKSON, TRACHETTE · 2020 to 2024
$2.6M
NCI NIH HHS U01 CA243075
6 · The paper itself

Abstract

This protocol explains how to take an agent-based model (ABM) with molecular dynamics and set it up to solve the molecular dynamics with a global approach. It can be used to speed up simulations significantly while retaining high levels of accuracy with the original ABM. Two options are presented for implementing this global approach, depending on the desired spatial variability in molecular concentrations. Both options coarse-grain the molecular dynamics in space by dividing the microenvironment into regions with uniform concentrations. For complete details on the use and execution of this protocol, please refer to Bergman et al. (2022).

Indexed as

AlgorithmsMolecular Dynamics SimulationComputer sciencesSystems biology

Identifiers

PMID36313535
PMCPMC9615321

What OpenQuestion holds

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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.