Evidence map›Paper›PMID 30713827›Full record

ArticleChemNanoMat : chemistry of nanomaterials for energy, biology and more2018

Amino Acid Based Self-assembled Nanostructures: Complex Structures from Remarkably Simple Building Blocks.

Priyadarshi Chakraborty, Ehud Gazit

Abstract read
In one paragraph

Article in ChemNanoMat : chemistry of nanomaterials for energy, biology and more, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Short Peptide and Amino Acid-Based Supramolecular Ionogels and Eutectogels.Chemistry (Weinheim an der Bergstrasse, Germany) · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Anion Effects on the Supramolecular Self-Assembly of Cationic Phenylalanine Derivatives.Langmuir : the ACS journal of surfaces and colloids · 2022
    Article
  13. Article
  14. Short Peptide-Based Smart Thixotropic Hydrogels.Gels (Basel, Switzerland) · 2022
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Self-assembly of amino acids toward functional biomaterials.Beilstein journal of nanotechnology · 2021
    Review
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.

Priyadarshi ChakrabortyDepartment of Molecular Microbiology and Biotechnology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 6997801, Israel.
Ehud GazitDepartment of Molecular Microbiology and Biotechnology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 6997801, Israel.

Funding

European Research Council 694426
6 · The paper itself

Abstract

Amino acids are the simplest biological building blocks capable of forming discreet nanostructures by supramolecular self-assembly. The understanding of the process of organization of amino acid nanostructures is of fundamental importance for the study of metabolic diseases as well as for materials science applications. Although peptide self-assembled structures have been the topic of many review articles, much less attention has been devoted to the ability of amino acid building blocks, both natural and synthetic, to form ordered assemblies with defined architectures and notable physical properties, by the process of self-association. Herein, we try to shed light on amino acid based nanostructures, their fabrication and implications. We discuss self-assembled nanostructures, including hydrogels with nanoscale order, obtained from both modified and unmodified single amino acids. We also envision some future prospects in this emerging field.

Indexed as

amino acidshydrogelsnanostructuresphenylalanineself-assembly

Identifiers

PMID30713827
PMCPMC6352958

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Registered trials

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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.