Accurate prediction of protein structures and interactions using a 3-track neural network

DeepMind presented remarkably accurate predictions at the recent CASP14 protein structure prediction assessment conference. We explored network architectures incorporating related ideas and obtained the best performance with a 3-track network in which information at the 1D sequence level, the 2D dis...

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Detalles Bibliográficos
Autores principales: Baek, Minkyung, DiMaio, Frank, Anishchenko, Ivan, Dauparas, Justas, Ovchinnikov, Sergey, Lee, Gyu Rie, Wang, Jue, Cong, Qian, Kinch, Lisa N., Schaeffer, R. Dustin, Millán, Claudia, Park, Hahnbeom, Adams, Carson, Glassman, Caleb R., DeGiovanni, Andy, Pereira, Jose H., Rodrigues, Andria V., van Dijk, Alberdina A., Ebrecht, Ana C., Opperman, Diederik J., Sagmeister, Theo, Buhlheller, Christoph, Pavkov-Keller, Tea, Rathinaswamy, Manoj K, Dalwadi, Udit, Yip, Calvin K, Burke, John E, Garcia, K. Christopher, Grishin, Nick V., Adams, Paul D., Read, Randy J., Baker, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7612213/
https://www.ncbi.nlm.nih.gov/pubmed/34282049
http://dx.doi.org/10.1126/science.abj8754

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7612213/
https://www.ncbi.nlm.nih.gov/pubmed/34282049
http://dx.doi.org/10.1126/science.abj8754

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