ArticleCurrent opinion in solid state & materials science2025
Dissecting the physics of bacterial biofilms with agent-based simulations.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
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
Identifiers
What Socratic holds
Registered trials
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.