Evidence map›Paper›PMID 31572730›Full record

ReviewFrontiers in molecular biosciences2019

Modeling Crowded Environment in Molecular Simulations.

Natalia Ostrowska, Michael Feig, Joanna Trylska

Abstract readReview
In one paragraph

Review in Frontiers in molecular biosciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. PEG-mCherry interactions beyond classical macromolecular crowding.Protein science : a publication of the Protein Society · 2025
    Article
  4. Molecular Crowding by Computational Approaches.Sub-cellular biochemistry · 2025
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Conformational ensembles explain NMR spectra of frozen intrinsically disordered proteins.Protein science : a publication of the Protein Society · 2023
    Article
  12. Article
  13. Article
  14. Review
  15. J-aggregation of 5, 10, 15, 20-tetraphenyl-21H, 23H-porphinetetrasulfonic acid in a molecular crowding environment simulated using dextran.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Modeling of the thermal properties of SARS-CoV-2 S-protein.Frontiers in molecular biosciences · 2022
    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

3 authors.

Natalia OstrowskaCentre of New Technologies, University of Warsaw, Warsaw, Poland.
Michael FeigDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, United States.
Joanna TrylskaCentre of New Technologies, University of Warsaw, Warsaw, Poland.

Funding

Modeling and dynamics of biomolecules on cellular scalesR35GM126948 · NIGMS · MICHIGAN STATE UNIVERSITY · PI Michael Feig · 2018 to 2026
$3.2M
NIGMS NIH HHS R35 GM126948
6 · The paper itself

Abstract

Biomolecules perform their various functions in living cells, namely in an environment that is crowded by many macromolecules. Thus, simulating the dynamics and interactions of biomolecules should take into account not only water and ions but also other binding partners, metabolites, lipids and macromolecules found in cells. In the last decade, research on how to model macromolecular crowders around proteins in order to simulate their dynamics in models of cellular environments has gained a lot of attention. In this mini-review we focus on the models of crowding agents that have been used in computer modeling studies of proteins and peptides, especially via molecular dynamics simulations.

Indexed as

coarse-grained modelscrowder modelsmacromolecular crowdingmolecular dynamics simulationsprotein dynamics

Identifiers

PMID31572730
PMCPMC6749006

What OpenQuestion holds

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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.