<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Wang N</submitter><funding>Starr Cancer Consortium</funding><funding>Mr. William H and Mrs. Alice Goodwin</funding><funding>Doris Duke Charitable Foundation</funding><funding>Commonwealth Foundation for Cancer Research Foundation</funding><funding>Commonwealth Foundation for Cancer Research the Center for Experimental Therapeutics</funding><funding>National Cancer Institute</funding><funding>NCI NIH HHS</funding><pagination>2067-2077</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11770985</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>23(6)</volume><pubmed_abstract>Engineered macromolecules offer compelling means for the therapy of conventionally undruggable interactions in human disease. However, their efficacy is limited by barriers to tissue and intracellular delivery. Inspired by recent advances in molecular barcoding and evolution, we developed BarcodeBabel, a generalized method for the design of libraries of peptide barcodes suitable for high-throughput mass spectrometry proteomics. Combined with PeptideBabel, a Monte Carlo sampling algorithm for the design of peptides with evolvable physicochemical properties and sequence complexity, we developed a barcoded library of cell penetrating peptides (CPPs) with distinct physicochemical features. Using quantitative targeted mass spectrometry, we identified CPPS with improved nuclear and cytoplasmic d</pubmed_abstract><journal>Journal of proteome research</journal><pubmed_title>Proteomic Barcoding Platform for Macromolecular Screening and Delivery.</pubmed_title><pmcid>PMC11770985</pmcid><funding_grant_id>R01 CA204396</funding_grant_id><funding_grant_id>R21 CA235285</funding_grant_id><funding_grant_id>U54 CA243124</funding_grant_id><funding_grant_id>P30 CA008748</funding_grant_id><funding_grant_id>R01 CA214812</funding_grant_id><funding_grant_id>P30 CA08748</funding_grant_id><pubmed_authors>Wang N</pubmed_authors><pubmed_authors>Fass J</pubmed_authors><pubmed_authors>Eton E</pubmed_authors><pubmed_authors>Kentsis A</pubmed_authors><pubmed_authors>Mcneer NA</pubmed_authors></additional><is_claimable>false</is_claimable><name>Proteomic Barcoding Platform for Macromolecular Screening and Delivery.</name><description>Engineered macromolecules offer compelling means for the therapy of conventionally undruggable interactions in human disease. However, their efficacy is limited by barriers to tissue and intracellular delivery. Inspired by recent advances in molecular barcoding and evolution, we developed BarcodeBabel, a generalized method for the design of libraries of peptide barcodes suitable for high-throughput mass spectrometry proteomics. Combined with PeptideBabel, a Monte Carlo sampling algorithm for the design of peptides with evolvable physicochemical properties and sequence complexity, we developed a barcoded library of cell penetrating peptides (CPPs) with distinct physicochemical features. Using quantitative targeted mass spectrometry, we identified CPPS with improved nuclear and cytoplasmic d</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Jun</publication><modification>2025-04-04T22:23:28.205Z</modification><creation>2025-04-04T22:23:28.205Z</creation></dates><accession>S-EPMC11770985</accession><cross_references><pubmed>38776430</pubmed><doi>10.1021/acs.jproteome.4c00068</doi></cross_references></HashMap>