{"database":"ENA","file_versions":[],"scores":null,"additional":{"omics_type":["Genomics"],"center_name":["University of Washington"],"full_dataset_link":["https://www.ebi.ac.uk/ena/browser/view/PRJNA838695"],"scientific_name":["Homo sapiens"],"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.)"],"repository":["ENA"],"additional_accession":[]},"is_claimable":false,"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","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","dates":{"last_updated":"2025-09-24","first_public":"2022-11-24"},"accession":"PRJNA838695","cross_references":{"taxon":["9606"]}}