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Summary
| Description |
English: Figure 4. The original crowdsourced design of the fragment merge (TRY-UNI-714a760b-6) that led to the development of the lead series shown in Figure 2. The system to enter compounds with rationales, and add attribution to the original fragment inspirations was built by PostEra specifically for this project. All linked biochemical
and structural results on this specific molecule can be viewed on the detai lpage: https://postera.ai/covid/submissions/ 714a760b-0e02-4b09-8736-f27f854f8c22/6 |
| Date | |
| Source |
https://www.biorxiv.org/content/biorxiv/early/2020/10/30/2020.10.29.339317.full.pdf Preprint of "COVID Moonshot: Open Science Discovery of SARS-CoV-2 Main Protease Inhibitors by Combining Crowdsourcing, High-Throughput Experiments, Computational Simulations, and Machine Learning" by the The COVID Moonshot Consortium. October 30, 2020. It is made available under a CC-BY 4.0 International license https://creativecommons.org/licenses/by/4.0/ |
| Author | The COVID Moonshot Consortium |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 18:35, 4 November 2021 | | 1,361 × 629 (286 KB) | Mary Mark Ockerbloom | Uploaded a work by The COVID Moonshot Consortium from https://www.biorxiv.org/content/biorxiv/early/2020/10/30/2020.10.29.339317.full.pdf Preprint of "COVID Moonshot: Open Science Discovery of SARS-CoV-2 Main Protease Inhibitors by Combining Crowdsourcing, High-Throughput Experiments, Computational Simulations, and Machine Learning" by the The COVID Moonshot Consortium. October 30, 2020. It is made available under a CC-BY 4.0 International license https://creativecommons.org/licenses/by/4.0/... |
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