The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Aromatic−Aromatic Interactions Induce the Self-Assembly of Pentapeptidic Derivatives in Water To Form Nanofibers and Supramolecular Hydrogels
Abstract
In this paper we report the conjugation of an aromatic moiety (pyrene (P), fluorene (F), or naphthalene (N)) to pentapeptides GAGAS (1), GVPVP (2), VPGVG (3), VTEEI (4), VYGGG (5), and YGFGG (6) to afford peptidic derivatives for exploring pentapeptide-based hydrogels as potential biomaterials. Most of these compounds (1F, 1P, 2F, 2P, 4F, 4P, 4N, 5F, 5N, 6F, 6P, and 6N) behave as molecular hydrogelators and can form hydrogels at minimum concentrations of gelation from 0.5 to 2.8 wt %. The fluorescence spectra of the hydrogels exhibit a significant red shift, indicating the interactions between the aromatic moieties in those hydrogels. The circular dichroism spectra indicate that the self-assembly of the hydrogelators affords helical or beta-sheet-like structures. Transmission and scanning electron microscopic examination reveals the nanofiber networks of these hydrogelators. In addition, rheological measurements show fair to excellent viscoelastic properties of these hydrogels. The balance of intermolecular aromatic-aromatic interactions and hydrogen bonds of these hydrogelators leads to their self-assembly in water and the formation of nanofibers as the matrixes of hydrogels. A total of 6 of these 18 pentapeptide derivatives--1N, 2N, 3F, 3P, 3N, and 5P--fail to form hydrogels under the conditions tested, likely due to unbalanced intermolecular interactions. This work suggests that aromatic-aromatic interactions are useful and favorable forces for creating molecular nanofibers and supramolecular hydrogels.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Langer, R. (1990) · Science · doi:10.1126/science.2218494 · Cited by 1,778
Cited by
Functional π-Gelators and Their Applications
Babu, S. S., Praveen, V. K., & Ajayaghosh, A. (2014) · Chemical Reviews · doi:10.1021/cr400195e · Cited by 1,725
Soft Materials by Design: Unconventional Polymer Networks Give Extreme Properties
Zhao, X., Chen, X., Yuk, H., Lin, S., Liu, X., & Parada, G. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.0c01088 · Cited by 1,161
Supramolecular Cross-Linked Networks via Host−Guest Complexation with Cucurbit[8]uril
Appel, E. A., Biedermann, F., Rauwald, U., Jones, S. T., Zayed, J. M., & Scherman, O. A. (2010) · Journal of the American Chemical Society · doi:10.1021/ja106362w · Cited by 607
Tao, K., Levin, A., Adler-Abramovich, L., & Gazit, E. (2016) · Chemical Society Reviews · doi:10.1039/c5cs00889a · Cited by 482
Amino Acids and Peptide‐Based Supramolecular Hydrogels for Three‐Dimensional Cell Culture
Dou, X., & Feng, C. (2017) · Advanced Materials · doi:10.1002/adma.201604062 · Cited by 355
Metadata
- Authors
- Ma, M., Kuang, Y., Gao, Y., Zhang, Y., Gao, P., & Xu, B.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-02-04
- Volume
- 132
- Issue
- 8
- Pages
- 2719-2728
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W1982087272
- Cited by
- 375
- References
- 1
- FWCI
- 12.21
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.