Evidence map›Paper›PMID 17510021›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2007

Stochastic simulations of minimal self-reproducing cellular systems.

Fabio Mavelli, Kepa Ruiz-Mirazo

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Protocells Either Synchronize or Starve.Entropy (Basel, Switzerland) · 2025
    Article
  3. Models of Protocells Undergoing Asymmetrical Division.Entropy (Basel, Switzerland) · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Molecular Evolution in a Peptide-Vesicle System.Life (Basel, Switzerland) · 2018
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. From self-assembled vesicles to protocells.Cold Spring Harbor perspectives in biology · 2010
    Review
  15. Generic Darwinian selection in catalytic protocell assemblies.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2007
    Article
  16. Synthetic protocell biology: from reproduction to computation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2007
    Review
  17. Question 7: new aspects of interactions among vesicles.Origins of life and evolution of the biosphere : the journal of the International Society for the Study of the Origin of Life · 2007
    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.

Fabio MavelliDepartment of Chemistry, University of Bari, 70125 Bari, Italy. mavelli@chimica.uniba.it
Kepa Ruiz-Mirazo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper is a theoretical attempt to gain insight into the problem of how self-assembling vesicles (closed bilayer structures) could progressively turn into minimal self-producing and self-reproducing cells, i.e. into interesting candidates for (proto)biological systems. With this aim, we make use of a recently developed object-oriented platform to carry out stochastic simulations of chemical reaction networks that take place in dynamic cellular compartments. We apply this new tool to study the behaviour of different minimal cell models, making realistic assumptions about the physico-chemical processes and conditions involved (e.g. thermodynamic equilibrium/non-equilibrium, variable volume-to-surface relationship, osmotic pressure, solute diffusion across the membrane due to concentration gradients, buffering effect). The new programming platform has been designed to analyse not only how a single protometabolic cell could maintain itself, grow or divide, but also how a collection of these cells could 'evolve' as a result of their mutual interactions in a common environment.

Indexed as

Cell Physiological PhenomenaComputer SimulationModels, BiologicalBiological EvolutionStochastic Processes

Identifiers

PMID17510021
PMCPMC2515193

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.