<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Jin Z</submitter><funding>NIDCR NIH HHS</funding><funding>NIA NIH HHS</funding><funding>NIAID NIH HHS</funding><funding>NIH HHS</funding><funding>National Science Foundation</funding><pagination>e202214394</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9852014</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>62(4)</volume><pubmed_abstract>Aromatic interactions are commonly involved in the assembly of naturally occurring building blocks, and these interactions can be replicated in an artificial setting to produce functional materials. Here we describe a colorimetric biosensor using co-assembly experiments with plasmonic gold and surfactant-like peptides (SLPs) spanning a wide range of aromatic residues, polar stretches, and interfacial affinities. The SLPs programmed in DDD-(ZZ)&lt;sub>x&lt;/sub> -FFPC self-assemble into higher-order structures in response to a protease and subsequently modulate the colloidal dispersity of gold leading to a colorimetric readout. Results show the strong aggregation propensity of the FFPC tail without polar DDD head. The SLPs were specific to the target protease, i.e., M&lt;sup>pro&lt;/sup> , a biomarker for SARS-CoV-2. This system is a simple and visual tool that senses M&lt;sup>pro&lt;/sup> in phosphate buffer, exhaled breath condensate, and saliva with detection limits of 15.7, 20.8, and 26.1 nM, respectively. These results may have value in designing other protease testing methods.</pubmed_abstract><journal>Angewandte Chemie (International ed. in English)</journal><pubmed_title>Peptide Amphiphile Mediated Co-assembly for Nanoplasmonic Sensing.</pubmed_title><pmcid>PMC9852014</pmcid><funding_grant_id>S10 OD023555</funding_grant_id><funding_grant_id>R21 AG065776</funding_grant_id><funding_grant_id>ECCS-1542148</funding_grant_id><funding_grant_id>R01 DE031114</funding_grant_id><funding_grant_id>R21 DE029917</funding_grant_id><funding_grant_id>DMR-2011924</funding_grant_id><funding_grant_id>R21 AI157957</funding_grant_id><pubmed_authors>Retout M</pubmed_authors><pubmed_authors>Yim W</pubmed_authors><pubmed_authors>Xu M</pubmed_authors><pubmed_authors>Yeung J</pubmed_authors><pubmed_authors>Fajtova P</pubmed_authors><pubmed_authors>Li K</pubmed_authors><pubmed_authors>Jin Z</pubmed_authors><pubmed_authors>O'Donoghue AJ</pubmed_authors><pubmed_authors>Cheng Y</pubmed_authors><pubmed_authors>Chang YC</pubmed_authors><pubmed_authors>Li Y</pubmed_authors><pubmed_authors>Ling C</pubmed_authors><pubmed_authors>He T</pubmed_authors><pubmed_authors>Creyer MN</pubmed_authors><pubmed_authors>Li S</pubmed_authors><pubmed_authors>Jokerst JV</pubmed_authors><pubmed_authors>Qi B</pubmed_authors><pubmed_authors>Zhou J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Peptide Amphiphile Mediated Co-assembly for Nanoplasmonic Sensing.</name><description>Aromatic interactions are commonly involved in the assembly of naturally occurring building blocks, and these interactions can be replicated in an artificial setting to produce functional materials. Here we describe a colorimetric biosensor using co-assembly experiments with plasmonic gold and surfactant-like peptides (SLPs) spanning a wide range of aromatic residues, polar stretches, and interfacial affinities. The SLPs programmed in DDD-(ZZ)&lt;sub>x&lt;/sub> -FFPC self-assemble into higher-order structures in response to a protease and subsequently modulate the colloidal dispersity of gold leading to a colorimetric readout. Results show the strong aggregation propensity of the FFPC tail without polar DDD head. The SLPs were specific to the target protease, i.e., M&lt;sup>pro&lt;/sup> , a biomarker for SARS-CoV-2. This system is a simple and visual tool that senses M&lt;sup>pro&lt;/sup> in phosphate buffer, exhaled breath condensate, and saliva with detection limits of 15.7, 20.8, and 26.1 nM, respectively. These results may have value in designing other protease testing methods.</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jan</publication><modification>2026-03-18T14:11:46.92Z</modification><creation>2025-04-04T07:24:48.069Z</creation></dates><accession>S-EPMC9852014</accession><cross_references><pubmed>36409652</pubmed><doi>10.1002/anie.202214394</doi></cross_references></HashMap>