| dc.contributor.author | Chatterjee, Pranam | |
| dc.contributor.author | Ponnapati, Manvitha | |
| dc.contributor.author | Kramme, Christian | |
| dc.contributor.author | Plesa, Alexandru M. | |
| dc.contributor.author | Church, George M. | |
| dc.contributor.author | Jacobson, Joseph | |
| dc.date.accessioned | 2020-11-30T19:51:09Z | |
| dc.date.available | 2020-11-30T19:51:09Z | |
| dc.date.issued | 2020-11 | |
| dc.date.submitted | 2020-08 | |
| dc.identifier.issn | 2399-3642 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/128692 | |
| dc.description.abstract | The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, has elicited a global health crisis of catastrophic proportions. With only a few vaccines approved for early or limited use, there is a critical need for effective antiviral strategies. In this study, we report a unique antiviral platform, through computational design of ACE2-derived peptides which both target the viral spike protein receptor binding domain (RBD) and recruit E3 ubiquitin ligases for subsequent intracellular degradation of SARS-CoV-2 in the proteasome. Our engineered peptide fusions demonstrate robust RBD degradation capabilities in human cells and are capable of inhibiting infection-competent viral production, thus prompting their further experimental characterization and therapeutic development. | en_US |
| dc.language.iso | en | |
| dc.publisher | Springer Science and Business Media LLC | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1038/s42003-020-01470-7 | en_US |
| dc.rights | Creative Commons Attribution 4.0 International license | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
| dc.source | Nature | en_US |
| dc.title | Targeted intracellular degradation of SARS-CoV-2 via computationally optimized peptide fusions | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Chattergee, Pranam et al. "Targeted intracellular degradation of SARS-CoV-2 via computationally optimized peptide fusions." Communications Biology 3, 1 (November 2020): 715 © 2020 The Author(s) | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Center for Bits and Atoms | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Media Laboratory | en_US |
| dc.relation.journal | Communications Biology | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dc.date.updated | 2020-11-30T18:18:26Z | |
| dspace.orderedauthors | Chatterjee, P; Ponnapati, M; Kramme, C; Plesa, AM; Church, GM; Jacobson, JM | en_US |
| dspace.date.submission | 2020-11-30T18:18:31Z | |
| mit.journal.volume | 3 | en_US |
| mit.journal.issue | 1 | en_US |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Complete | |