<HashMap><database>ENA</database><scores/><additional><omics_type>Genomics</omics_type><center_name>University of Washington</center_name><full_dataset_link>https://www.ebi.ac.uk/ena/browser/view/PRJNA838695</full_dataset_link><scientific_name>Homo sapiens</scientific_name><long_description>This project will develop biomimetic olfaction-based and gustation-based sensors for detecting volatile organic compound (VOC) biomarkers against SARS-CoV-2. We employ a computational design to deduce sets of odorant binding peptide (OBP) sequences that will selectively bind to exhaled VOCs associated with SARS-CoV-2 from libraries of olfactory proteins. Chimeric peptides including these OBP sequences and a aromatic carbon-binding group are then synthesized, validated for vapor phase VOC binding, and then bound to separate low-cost graphene and carbon nanotube sensor field effect transistors in multiplexed arrays developed in this project. The exhalant or simulated exhalant response data from these multiplexed OBP-functionalized sensor arrays will be used to train an AI-driven diagnosis... (for more see dbGaP study page.)</long_description><repository>ENA</repository></additional><is_claimable>false</is_claimable><name>Rapid Acceleration of Diagnostics - Radical (RADx-rad): Broad-spectrum Detection of VOC and Non-VOC Biomarkers from Patient Exhalant Using Biomimetic Multiplexed eNose Biosensor for COVID 19 Diagnosis</name><description>Rapid Acceleration of Diagnostics - Radical (RADx-rad): Broad-spectrum Detection of VOC and Non-VOC Biomarkers from Patient Exhalant Using Biomimetic Multiplexed eNose Biosensor for COVID 19 Diagnosis</description><dates><last_updated>2025-09-24</last_updated><first_public>2022-11-24</first_public></dates><accession>PRJNA838695</accession><cross_references><taxon>9606</taxon></cross_references></HashMap>