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arxiv: 1906.09349 · v1 · pith:62FSZYXAnew · submitted 2019-06-21 · ⚛️ physics.bio-ph · cond-mat.soft

Minimal coarse-grained models for molecular self-organisation in biology

Anne E. Hafner , Johannes Krausser , An{\dj}ela \v{S}ari\'c This is my paper

Pith reviewed 2026-05-25 17:59 UTC · model grok-4.3

classification ⚛️ physics.bio-ph cond-mat.soft
keywords coarse-grained modelsmolecular self-organisationcell biologymacromolecular assembliesphysical mechanismsself-assemblycomputational biology
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0 comments X

The pith

Minimal coarse-grained models can identify the main driving forces of molecular self-organisation in cells.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper reviews minimal coarse-grained models that represent each macromolecule with only a small number of particles. These models aim to isolate the essential physical interactions that drive molecules to form functional assemblies in living cells. They combine information from different length scales and produce outputs that can be checked directly against experiments. The review surveys existing models for cellular structures, describes their components and results, and shows how they clarify mechanisms of both healthy function and disease. This establishes that simplified physical representations can capture the core rules of biological organization.

Core claim

Minimal coarse-grained models, where a whole macromolecule is represented by a small number of particles, can be of great value in identifying the main driving forces behind self-organisation in cell biology. Such models can incorporate data from both molecular and continuum scales, and their results can be directly compared to experiments. The review outlines the key ingredients of each model and their main findings to illustrate the contribution of this class of simulations to identifying the physical mechanisms behind life and diseases.

What carries the argument

Minimal coarse-grained models that represent each macromolecule by a small number of particles to isolate dominant interactions driving assembly of cellular structures.

If this is right

  • These models identify physical mechanisms that underlie both normal cellular function and disease states.
  • They allow data from molecular and larger scales to be combined in one simulation framework.
  • Results from the models can be tested directly against experimental observations of assembly.
  • Further development of the models will extend their ability to explain self-organisation processes.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The approach could be used to test how specific changes in interaction strengths alter assembly outcomes in disease-related proteins.
  • It suggests that similar minimal models might apply to designing artificial molecular assemblies with targeted functions.
  • Larger-scale simulations built on these minimal units could reveal how local assembly rules produce cell-wide patterns.

Load-bearing premise

The dominant physical mechanisms of self-organisation can be captured accurately by these minimal representations without extra atomistic details or constraints that would change the conclusions.

What would settle it

An experimental measurement of a self-organising process in which the assembly structures or rates differ from those produced by the minimal model when only its proposed driving forces are included.

Figures

Figures reproduced from arXiv: 1906.09349 by An{\dj}ela \v{S}ari\'c, Anne E. Hafner, Johannes Krausser.

Figure 1
Figure 1. Figure 1: Minimal coarse-grained models, which account only for the crucial information on the shape [PITH_FULL_IMAGE:figures/full_fig_p004_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Building minimal coarse-grained models. The models are developed by connecting individual [PITH_FULL_IMAGE:figures/full_fig_p006_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Overview of the systems and representative coarse-grained models discussed in this review. Indi [PITH_FULL_IMAGE:figures/full_fig_p009_3.png] view at source ↗
read the original abstract

The molecular machinery of life is largely created via self-organisation of individual molecules into functional assemblies. Minimal coarse-grained models, where a whole macromolecule is represented by a small number of particles, can be of great value in identifying the main driving forces behind self-organisation in cell biology. Such models can incorporate data from both molecular and continuum scales, and their results can be directly compared to experiments. Here we review the state of the art of models for studying the formation and biological function of macromolecular assemblies in cells. We outline the key ingredients of each model and their main findings. We illustrate the contribution of this class of simulations to identifying the physical mechanisms behind life and diseases, and discuss their future developments.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 0 minor

Summary. The manuscript is a review of minimal coarse-grained models for molecular self-organisation in biology. It claims that representing entire macromolecules by a small number of particles allows these models to identify the main physical driving forces behind self-organisation in cell biology, to incorporate data from both molecular and continuum scales, and to produce results that can be compared directly to experiments. The review outlines the key ingredients and main findings of models for the formation and biological function of macromolecular assemblies, illustrates their contribution to understanding mechanisms in life and disease, and discusses future developments.

Significance. If the summaries of existing models are accurate and balanced, the review would be a useful consolidation of how minimal CG approaches can isolate dominant physical mechanisms in biological self-organisation without requiring full atomistic resolution. The paper explicitly credits the models' multi-scale compatibility and experimental comparability, which are genuine strengths for the biophysics community. The central evaluative claim is general rather than a specific mechanistic prediction, so it carries no internal circularity or derivation burden.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for their positive review of our manuscript and for recommending it for acceptance without raising any major comments.

Circularity Check

0 steps flagged

No significant circularity

full rationale

The paper is explicitly a review article that summarizes existing minimal coarse-grained models from the literature. It presents no original derivations, equations, predictions, or first-principles results of its own. The central claim is evaluative (that such models can be of value), not a mechanistic derivation that could reduce to its inputs by construction. No self-citations function as load-bearing uniqueness theorems, and no fitted parameters are relabeled as predictions. The review format carries no internal circularity burden.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Review paper; no free parameters, axioms, or invented entities are introduced by the authors.

pith-pipeline@v0.9.0 · 5654 in / 949 out tokens · 22171 ms · 2026-05-25T17:59:57.427268+00:00 · methodology

discussion (0)

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Reference graph

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