Zobrazeno 1 - 2
of 2
pro vyhledávání: '"R. D. Kibler"'
Autor:
B. I. M. Wicky, L. F. Milles, A. Courbet, R. J. Ragotte, J. Dauparas, E. Kinfu, S. Tipps, R. D. Kibler, M. Baek, F. DiMaio, X. Li, L. Carter, A. Kang, H. Nguyen, A. K. Bera, D. Baker
Publikováno v:
Science (New York, N.Y.). 378(6615)
Deep learning generative approaches provide an opportunity to broadly explore protein structure space beyond the sequences and structures of natural proteins. Here, we use deep network hallucination to generate a wide range of symmetric protein homo-
Autor:
B. I. M. Wicky, L. F. Milles, A. Courbet, R. J. Ragotte, J. Dauparas, E. Kinfu, S. Tipps, R. D. Kibler, M. Baek, F. DiMaio, X. Li, L. Carter, A. Kang, H. Nguyen, A. K. Bera, D. Baker
Deep learning generative approaches provide an opportunity to broadly explore protein structure space beyond the sequences and structures of natural proteins. Here we use deep network hallucination to generate a wide range of symmetric protein homo-o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4831eefa7ca48efff9697873053bdf3
https://doi.org/10.1101/2022.06.09.493773
https://doi.org/10.1101/2022.06.09.493773