Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Marine and terrestrial organisms often utilise EGF/EGF-like domains in wet adhesives, yet their roles in adhesion remain unclear. Here, we investigate the Barbatia virescense byssal system and uncover an oxidation-independent, reversible, and robust adhesion mechanism where EGF/EGF-like domain tandem repetitions in adhesive proteins bind robustly to GlcNAc-based biopolymer. EGF/EGF-like-domain-containing proteins demonstrate over three-fold superior underwater adhesion to chitosan compared to the well-known strongest wet-adhesive proteins, mefp-5, and suckerin, when adhering to mica in an surface forces apparatus-based measurement. Additionally, as the degree of acetylation of chitosan decreases from 20.0 to 5.34%, the underwater adhesion energy between mefp-2 and chitosan decreases from |Wad | ≈ 41.80 to 12.92 ± 0.40 mJm. This finding highlights the importance of GlcNAc over GlcN in binding with EGF to formulate effective underwater adhesives, expanding our understanding of underwater adhesion and supporting EGF's functional role in biomedical wet adhesive interfaces, hydrogels, and chitosan applications.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1038/s41467-024-55476-4 | DOI Listing |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11697411 | PMC |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!