Evidence map›Paper›PMID 31830032›Full record

ArticlePLoS computational biology2019

NUFEB: A massively parallel simulator for individual-based modelling of microbial communities.

Bowen Li, Denis Taniguchi, Jayathilake Pahala Gedara, Valentina Gogulancea, Rebeca Gonzalez-Cabaleiro, Jinju Chen, Andrew Stephen McGough, Irina Dana Ofiteru, Thomas P Curtis, Paolo Zuliani

Abstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. A continuum multi-species bacterial growth model with a novel interaction scheme.Archive of applied mechanics = Ingenieur-Archiv · 2026
    Article
  5. Dissecting the physics of bacterial biofilms with agent-based simulations.Current opinion in solid state & materials science · 2025
    Article
  6. Review
  7. Article
  8. A Hamilton principle-based model for diffusion-driven biofilm growth.Biomechanics and modeling in mechanobiology · 2024
    Article
  9. Article
  10. Article
  11. From microbiome composition to functional engineering, one step at a time.Microbiology and molecular biology reviews : MMBR · 2023
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. 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

10 authors.

Bowen LiSchool of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom.ORCID 0000-0002-0979-9862
Denis TaniguchiSchool of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom.ORCID 0000-0002-9018-1700
Jayathilake Pahala GedaraSchool of Engineering, Newcastle University, Newcastle upon Tyne, United Kingdom.
Valentina GogulanceaSchool of Engineering, Newcastle University, Newcastle upon Tyne, United Kingdom.ORCID 0000-0001-8690-1894
Rebeca Gonzalez-CabaleiroSchool of Engineering, Newcastle University, Newcastle upon Tyne, United Kingdom.
Jinju ChenSchool of Engineering, Newcastle University, Newcastle upon Tyne, United Kingdom.ORCID 0000-0002-9792-6285
Andrew Stephen McGoughSchool of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom.
Irina Dana OfiteruSchool of Engineering, Newcastle University, Newcastle upon Tyne, United Kingdom.ORCID 0000-0002-1492-3709
Thomas P CurtisSchool of Engineering, Newcastle University, Newcastle upon Tyne, United Kingdom.ORCID 0000-0002-9009-1748
Paolo ZulianiSchool of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom.ORCID 0000-0001-6033-5919

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present NUFEB (Newcastle University Frontiers in Engineering Biology), a flexible, efficient, and open source software for simulating the 3D dynamics of microbial communities. The tool is based on the Individual-based Modelling (IbM) approach, where microbes are represented as discrete units and their behaviour changes over time due to a variety of processes. This approach allows us to study population behaviours that emerge from the interaction between individuals and their environment. NUFEB is built on top of the classical molecular dynamics simulator LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator), which we extended with IbM features. A wide range of biological, physical and chemical processes are implemented to explicitly model microbial systems, with particular emphasis on biofilms. NUFEB is fully parallelised and allows for the simulation of large numbers of microbes (107 individuals and beyond). The parallelisation is based on a domain decomposition scheme that divides the domain into multiple sub-domains which are distributed to different processors. NUFEB also offers a collection of post-processing routines for the visualisation and analysis of simulation output. In this article, we give an overview of NUFEB's functionalities and implementation details. We provide examples that illustrate the type of microbial systems NUFEB can be used to model and simulate.

Indexed as

MicrobiotaModels, BiologicalSoftwareBiofilmsComputational BiologyComputer SimulationHydrodynamicsImaging, Three-Dimensional

Identifiers

PMID31830032
PMCPMC6932830

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LicenceCC BY
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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.