Evidence map›Paper›PMID 36135245›Full record

ReviewGels (Basel, Switzerland)2022

Peptide-Based Low Molecular Weight Photosensitive Supramolecular Gelators.

Bapan Pramanik, Sahnawaz Ahmed

Abstract readReview
In one paragraph

Review in Gels (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Food Peptides for the Nutricosmetic Industry.Antioxidants (Basel, Switzerland) · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Short Peptide-Based Smart Thixotropic Hydrogels.Gels (Basel, Switzerland) · 2022
    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.

Bapan PramanikDepartment of Chemistry, Ben-Gurion University of the Negev, Be'er Sheva 84105, Israel.ORCID 0000-0002-8860-2975
Sahnawaz AhmedDepartment of Medicinal Chemistry, National Institute of Pharmaceutical Education and Research Kolkata, Kolkata 700054, India.ORCID 0000-0001-7028-588X

Funding

DST INSPIRE Faculty Fellowship, Govt. of India DST/INSPIRE/04/2020/000216
6 · The paper itself

Abstract

Over the last couple of decades, stimuli-responsive supramolecular gels comprising synthetic short peptides as building blocks have been explored for various biological and material applications. Though a wide range of stimuli has been tested depending on the structure of the peptides, light as a stimulus has attracted extensive attention due to its non-invasive, non-contaminant, and remotely controllable nature, precise spatial and temporal resolution, and wavelength tunability. The integration of molecular photo-switch and low-molecular-weight synthetic peptides may thus provide access to supramolecular self-assembled systems, notably supramolecular gels, which may be used to create dynamic, light-responsive "smart" materials with a variety of structures and functions. This short review summarizes the recent advancement in the area of light-sensitive peptide gelation. At first, a glimpse of commonly used molecular photo-switches is given, followed by a detailed description of their incorporation into peptide sequences to design light-responsive peptide gels and the mechanism of their action. Finally, the challenges and future perspectives for developing next-generation photo-responsive gels and materials are outlined.

Indexed as

arylazopyrozolesazobenzenegelpeptidespiropyranstimuli responsivetrans-cis isomerization

Identifiers

PMID36135245
PMCPMC9498526

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.