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Deep learning models for predicting RNA degradation via dual crowdsourcing
Medicines based on messenger RNA (mRNA) hold immense potential, as evidenced by their rapid deployment as COVID-19 vaccines. However, worldwide distribution of mRNA molecules has been limited by their thermostability, which is fundamentally limited by the intrinsic instability of RNA molecules to a...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9771809/ https://www.ncbi.nlm.nih.gov/pubmed/36567960 http://dx.doi.org/10.1038/s42256-022-00571-8 |
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por Wayment-Steele, Hannah K., Kladwang, Wipapat, Watkins, Andrew M., Kim, Do Soon, Tunguz, Bojan, Reade, Walter, Demkin, Maggie, Romano, Jonathan, Wellington-Oguri, Roger, Nicol, John J., Gao, Jiayang, Onodera, Kazuki, Fujikawa, Kazuki, Mao, Hanfei, Vandewiele, Gilles, Tinti, Michele, Steenwinckel, Bram, Ito, Takuya, Noumi, Taiga, He, Shujun, Ishi, Keiichiro, Lee, Youhan, Öztürk, Fatih, Chiu, Anthony, Öztürk, Emin, Amer, Karim, Fares, Mohamed, Participants, Eterna, Das, Rhiju
Publicado 2021
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Publicado 2021
Enlace del recurso
Online
Artículo
Texto