Evidence map›Paper›PMID 35219215›Full record

ReviewCurrent opinion in structural biology2022

Protein assembly and crowding simulations.

Lim Heo, Yuji Sugita, Michael Feig

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A coarse-grained model for disordered proteins under crowded conditions.Protein science : a publication of the Protein Society · 2025
    Article
  5. GRAMMCell: Docking-based Cell Modeling Resource.Journal of molecular biology · 2025
    Article
  6. Article
  7. PEG-mCherry interactions beyond classical macromolecular crowding.Protein science : a publication of the Protein Society · 2025
    Article
  8. Article
  9. Molecular Crowding by Computational Approaches.Sub-cellular biochemistry · 2025
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Biomolecular dynamics in the 21st century.Biochimica et biophysica acta. General subjects · 2024
    Review
  18. Article
  19. Review
  20. Dynamics of chromosome organization in a minimal bacterial cell.Frontiers in cell and developmental biology · 2023
    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.

Lim HeoDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA. Electronic address: https://twitter.com/huhlim.
Yuji SugitaTheoretical Molecular Science Laboratory, RIKEN Cluster for Pioneering Research, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan; Laboratory for Biomolecular Function Simulation, RIKEN Center for Biosystems Dynamics Research, 6-7-1 Minatojima-minamimachi, Chuo-ku, Kobe, Hyogo 650-0047, Japan; Computational Biophysics Research Team, RIKEN Center for Computational Science, 6-7-1 Minatojima-minamimachi, Chuo-ku, Kobe, Hyogo 650-0047, Japan. Electronic address: sugita@riken.jp.
Michael FeigDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA. Electronic address: mfeiglab@gmail.com.

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

Proteins encounter frequent molecular interactions in biological environments. Computer simulations have become an increasingly important tool in providing mechanistic insights into how such interactions in vivo relate to their biological function. The review here focuses on simulations describing protein assembly and molecular crowding effects as two important aspects that are distinguished mainly by how specific and long-lived protein contacts are. On the topic of crowding, recent simulations have provided new insights into how crowding affects protein folding and stability, modulates enzyme activity, and affects diffusive properties. Recent studies of assembly processes focus on assembly pathways, especially for virus capsids, amyloid aggregation pathways, and the role of multivalent interactions leading to phase separation. Also, discussed are technical challenges in achieving increasingly realistic simulations of interactions in cellular environments.

Indexed as

AmyloidProtein FoldingBiophysical PhenomenaComputer SimulationAmyloid

Identifiers

PMID35219215
PMCPMC8957576

What OpenQuestion holds

Textmetadata
LicenceTDM
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.