File:Figure 4 doi.org-10.1101-2020.10.29.339317.png

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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
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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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This file is licensed under the Creative Commons Attribution 4.0 International license.
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The original crowdsourced design of the fragment merge (TRY-UNI-714a760b-6)

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current18:35, 4 November 2021Thumbnail for version as of 18:35, 4 November 20211,361 × 629 (286 KB)Mary Mark OckerbloomUploaded 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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