Deep learning models for predicting RNA degradation via dual crowdsourcing

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Messenger RNA-based medicines 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 chemical d...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cornell University 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528079/
https://www.ncbi.nlm.nih.gov/pubmed/34671698

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528079/
https://www.ncbi.nlm.nih.gov/pubmed/34671698

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