Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Bennett, Anja"'
Autor:
Zainchkovskyy, Yevgen, Ferkinghoff-Borg, Jesper, Bennett, Anja, Egebjerg, Thomas, Lorenzen, Nikolai, Greisen, Per Jr., Hauberg, Søren, Stahlhut, Carsten
Pre-trained protein language models have demonstrated significant applicability in different protein engineering task. A general usage of these pre-trained transformer models latent representation is to use a mean pool across residue positions to red
Externí odkaz:
http://arxiv.org/abs/2211.05698
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Walker, Melanie R., Idorn, Manja, Bennett, Anja, Søgaard, Max, Salanti, Ali, Ditlev, Sisse B., Barfod, Lea
Publikováno v:
Walker, M R, Idorn, M, Bennett, A, Søgaard, M, Salanti, A, Ditlev, S B & Barfod, L 2023, ' Characterization of SARS-CoV-2 humoral immune response in a subject with unique sampling : A case report ', Immunity, Inflammation and Disease, vol. 11, no. 6, e910 . https://doi.org/10.1002/iid3.910
Background: The development of vaccine candidates for COVID-19, and the administration of booster vaccines, has meant a significant reduction in COVID-19 related deaths world-wide and the easing of global restrictions. However, new variants of SARS-C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2751::77d62eb3c77153abb6b5684b85da957f
https://curis.ku.dk/portal/da/publications/characterization-of-sarscov2-humoral-immune-response-in-a-subject-with-unique-sampling(7f9efd1f-d887-4dfd-aa88-b3aac1d74828).html
https://curis.ku.dk/portal/da/publications/characterization-of-sarscov2-humoral-immune-response-in-a-subject-with-unique-sampling(7f9efd1f-d887-4dfd-aa88-b3aac1d74828).html
Autor:
Angelo Rosace, Anja Bennett, Marc Oeller, Mie M. Mortensen, Laila Sakhnini, Nikolai Lorenzen, Christian Poulsen, Pietro Sormanni
Publikováno v:
Rosace, A, Bennett, A, Oeller, M, Mortensen, M M, Sakhnini, L, Lorenzen, N, Poulsen, C & Sormanni, P 2023, ' Automated optimisation of solubility and conformational stability of antibodies and proteins ', Nature Communications, vol. 14, no. 1, 1937 . https://doi.org/10.1038/s41467-023-37668-6
Acknowledgements: P.S. is a Royal Society University Research Fellow (URF\R1\201461). This work was partly funded by a Research Grant (RGS\R1\211126) from the Royal Society, by an Isaac Newton Trust/Wellcome Trust ISSF/University of Cambridge Joint R
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a3a408034bd9798f8bc0b45dfa5135b