Evidence map›Paper›PMID 29688238›Full record

ReviewChemical Society reviews2018

Molecular simulations of self-assembling bio-inspired supramolecular systems and their connection to experiments.

Pim W J M Frederix, Ilias Patmanidis, Siewert J Marrink

Open access · hybridAbstract readReview
In one paragraph

Review in Chemical Society reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
8.2field-weighted citation impact, top 1% of its field
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

52 citing papers in PubMed, 180 citations in OpenAlex.

  1. Article
  2. Collective fluctuations underlying nanobody inhibitory activity targetingbioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. The Ascent of Supramolecular Polymers and Gels in Asymmetric Catalysis.Chemistry (Weinheim an der Bergstrasse, Germany) · 2025
    Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Mineral-associated organic matter is heterogeneous and structured by hydrophobic, charged, and polar interactions.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Assessment of the MARTINI 3 Performance for Short Peptide Self-Assembly.Journal of chemical theory and computation · 2024
    Article
  19. Watching Molecular Nanotubes Self-Assemble in Real Time.Journal of the American Chemical Society · 2023
    Article
  20. Detecting dynamic domains and local fluctuations in complex molecular systems via timelapse neighbors shuffling.Proceedings of the National Academy of Sciences of the United States of America · 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 at 1 institution in 2 countries.

Pim W J M FrederixGroningen Biomolecular Sciences and Biotechnology Institute and Zernike Institute for Advanced Materials, University of Groningen, Groningen, The Netherlands. p.w.j.m.frederix@rug.nl s.j.marrink@rug.nl.
Ilias Patmanidis
Siewert J Marrink
Biotechnology Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In bionanotechnology, the field of creating functional materials consisting of bio-inspired molecules, the function and shape of a nanostructure only appear through the assembly of many small molecules together. The large number of building blocks required to define a nanostructure combined with the many degrees of freedom in packing small molecules has long precluded molecular simulations, but recent advances in computational hardware as well as software have made classical simulations available to this strongly expanding field. Here, we review the state of the art in simulations of self-assembling bio-inspired supramolecular systems. We will first discuss progress in force fields, simulation protocols and enhanced sampling techniques using recent examples. Secondly, we will focus on efforts to enable the comparison of experimentally accessible observables and computational results. Experimental quantities that can be measured by microscopy, spectroscopy and scattering can be linked to simulation output either directly or indirectly, via quantum mechanical or semi-empirical techniques. Overall, we aim to provide an overview of the various computational approaches to understand not only the molecular architecture of nanostructures, but also the mechanism of their formation.

Identifiers

PMID29688238
PMCPMC5961611
OpenAlexW2801084441

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.