Illuminating protein space with a programmable generative model

Three billion years of evolution has produced a tremendous diversity of protein molecules(1), but the full potential of proteins is likely to be much greater. Accessing this potential has been challenging for both computation and experiments because the space of possible protein molecules is much la...

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Detalles Bibliográficos
Autores principales: Ingraham, John B., Baranov, Max, Costello, Zak, Barber, Karl W., Wang, Wujie, Ismail, Ahmed, Frappier, Vincent, Lord, Dana M., Ng-Thow-Hing, Christopher, Van Vlack, Erik R., Tie, Shan, Xue, Vincent, Cowles, Sarah C., Leung, Alan, Rodrigues, João V., Morales-Perez, Claudio L., Ayoub, Alex M., Green, Robin, Puentes, Katherine, Oplinger, Frank, Panwar, Nishant V., Obermeyer, Fritz, Root, Adam R., Beam, Andrew L., Poelwijk, Frank J., Grigoryan, Gevorg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10686827/
https://www.ncbi.nlm.nih.gov/pubmed/37968394
http://dx.doi.org/10.1038/s41586-023-06728-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10686827/
https://www.ncbi.nlm.nih.gov/pubmed/37968394
http://dx.doi.org/10.1038/s41586-023-06728-8

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