Evidence map›Paper›PMID 40538632›Full record

ArticleCurrent opinion in solid state & materials science2025

Dissecting the physics of bacterial biofilms with agent-based simulations.

Kee-Myoung Nam, Changhao Li, Bastiaan J R Cockx, Danh T Nguyen, Ying Li, Jan-Ulrich Kreft, Jing Yan

Abstract read
In one paragraph

Article in Current opinion in solid state & materials science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kee-Myoung NamDepartment of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT, USA.
Changhao LiDepartment of Biology, Pennsylvania State University, State College, PA, USA.
Bastiaan J R CockxDepartment of Environmental and Resource Engineering, Technical University of Denmark, DTU Lyngby Campus, Kgs. Lyngby, Denmark.
Danh T NguyenDepartment of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, USA.
Ying LiDepartment of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, USA.
Jan-Ulrich KreftSchool of Biosciences, University of Birmingham, Edgbaston, Birmingham, UK.
Jing YanDepartment of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT, USA.

Funding

Tracking single-cell gene expression heterogeneity and its consequences in bacterial biofilmsDP2GM146253 · NIGMS · YALE UNIVERSITY · PI YAN, JING · 2021 to 2024
$2.5M
NIGMS NIH HHS DP2 GM146253
6 · The paper itself

Abstract

Biofilms are surface-attached bacterial communities encased within extracellular matrices (ECMs) of biopolymers that play many significant roles in health and society. Biofilms are versatile, living biomaterials that are resilient to a wide range of external perturbations, primarily due to the ECM, which consists of a complex network of polymeric macromolecules. Newly established platforms for live biofilm imaging at single-cell resolution have revealed a wealth of novel insights into the emergence of cellular organization within a developing biofilm. This has, in turn, necessitated the development of modeling approaches that can pinpoint the mechanistic origins of this organization. In this review, we discuss the use of agent-based models (ABMs) as a general framework for simulating the development of bacterial colonies and biofilms. We describe the ingredients that are typically included in an ABM, together with the biological entity or process that each such ingredient represents, and the assumptions that underlie its precise formulation within the model. We then discuss a selection of recent studies in which ABMs have been used to investigate the physical mechanisms that govern biofilm development, focusing on our recent work on orientational ordering within

Indexed as

agent-based modelsBacterial biofilmsbacterial communitiesextracellular matrixindividual-based modelsmechanical interactionssimulations

Identifiers

PMID40538632
PMCPMC12176386

What Socratic holds

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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 Socratic graph.