Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Alaa A. Shamandy"'
Autor:
Andrew T. Sage, Laura L. Donahoe, Alaa A. Shamandy, S. Hossein Mousavi, Bonnie T. Chao, Xuanzi Zhou, Jerome Valero, Sharaniyaa Balachandran, Aadil Ali, Tereza Martinu, George Tomlinson, Lorenzo Del Sorbo, Jonathan C. Yeung, Mingyao Liu, Marcelo Cypel, Bo Wang, Shaf Keshavjee
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-8 (2023)
Abstract Ex vivo lung perfusion (EVLP) is a data-intensive platform used for the assessment of isolated lungs outside the body for transplantation; however, the integration of artificial intelligence to rapidly interpret the large constellation of cl
Externí odkaz:
https://doaj.org/article/af760de30b88434f8af5439b2c782944
Autor:
João M. C. Teixeira, Zi Hao Liu, Ashley Namini, Jie Li, Robert M. Vernon, Mickaël Krzeminski, Alaa A. Shamandy, Oufan Zhang, Mojtaba Haghighatlari, Lei Yu, Teresa Head-Gordon, Julie D. Forman-Kay
Publikováno v:
The journal of physical chemistry. A, vol 126, iss 35
The power of structural information for informing biological mechanisms is clear for stable folded macromolecules, but similar structure-function insight is more difficult to obtain for highly dynamic systems such as intrinsically disordered proteins
Autor:
João M.C. Teixeira, Zi Hao Liu, Ashley Namini, Jie Li, Robert M. Vernon, Mickaël Krzeminski, Alaa A. Shamandy, Oufan Zhang, Mojtaba Haghighatlari, Lei Yu, Teresa Head-Gordon, Julie D. Forman-Kay
The power of structural information for informing biological mechanism is clear for stable folded macromolecules, but similar structure-function insight is more difficult to obtain for highly dynamic systems such as intrinsically disordered proteins
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::953785f8d5336f811aa44db303afeefb
https://doi.org/10.1101/2022.05.28.493726
https://doi.org/10.1101/2022.05.28.493726