Evidence map›Paper›PMID 28666087›Full record

ArticleThe journal of physical chemistry. B2017

Crowding in Cellular Environments at an Atomistic Level from Computer Simulations.

Michael Feig, Isseki Yu, Po-Hung Wang, Grzegorz Nawrocki, Yuji Sugita

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

65 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. GRAMMCell: Docking-based Cell Modeling Resource.Journal of molecular biology · 2025
    Article
  9. Review
  10. Prediction of phase-separation propensities of disordered proteins from sequence.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Residue Interactions Guide Translational Diffusion of Proteins.The journal of physical chemistry. B · 2025
    Article
  12. PEG-mCherry interactions beyond classical macromolecular crowding.Protein science : a publication of the Protein Society · 2025
    Article
  13. Molecular Crowding by Computational Approaches.Sub-cellular biochemistry · 2025
    Review
  14. Review
  15. Review
  16. Review
  17. ACS omega · 2024
    Review
  18. Article
  19. Article
  20. Article

5 more citing papers are in PubMed but not listed here.

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

5 authors.

Michael FeigDepartment of Biochemistry and Molecular Biology, Michigan State University , East Lansing, Michigan, United States.ORCID 0000-0001-9380-6422
Isseki YuTheoretical Molecular Science Laboratory, RIKEN , Wako, Japan.
Po-Hung WangTheoretical Molecular Science Laboratory, RIKEN , Wako, Japan.
Grzegorz NawrockiDepartment of Biochemistry and Molecular Biology, Michigan State University , East Lansing, Michigan, United States.
Yuji SugitaQuantitative Biology Center, RIKEN , Kobe, Japan.ORCID 0000-0001-9738-9216

Funding

CHARMM Modernization, Performance, and Continued DevelopmentR01GM103695 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROOKS, CHARLES L · 2012 to 2018
$3.1M
Protein structure refinement through effective sampling and scoringR01GM084953 · NIGMS · MICHIGAN STATE UNIVERSITY · PI FEIG, MICHAEL · 2008 to 2017
$2.5M
NIGMS NIH HHS R01 GM084953NIGMS NIH HHS R01 GM103695
6 · The paper itself

Abstract

The effects of crowding in biological environments on biomolecular structure, dynamics, and function remain not well understood. Computer simulations of atomistic models of concentrated peptide and protein systems at different levels of complexity are beginning to provide new insights. Crowding, weak interactions with other macromolecules and metabolites, and altered solvent properties within cellular environments appear to remodel the energy landscape of peptides and proteins in significant ways including the possibility of native state destabilization. Crowding is also seen to affect dynamic properties, both conformational dynamics and diffusional properties of macromolecules. Recent simulations that address these questions are reviewed here and discussed in the context of relevant experiments.

Indexed as

Molecular Dynamics SimulationAnimalsCattlePeptidesProteinsProtein StabilityProtein Structure, TertiarySerum Albumin, BovineSolventsThermodynamicsPeptidesProteinsSerum Albumin, BovineSolvents

Identifiers

PMID28666087
PMCPMC5582368

What OpenQuestion holds

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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.