Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Aza Allen"'
Autor:
Buwei Huang, Brian Coventry, Marta T. Borowska, Dimitrios C. Arhontoulis, Marc Exposit, Mohamad Abedi, Kevin M. Jude, Samer F. Halabiya, Aza Allen, Cami Cordray, Inna Goreshnik, Maggie Ahlrichs, Sidney Chan, Hillary Tunggal, Michelle DeWitt, Nathaniel Hyams, Lauren Carter, Lance Stewart, Deborah H. Fuller, Ying Mei, K. Christopher Garcia, David Baker
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Cytokine release syndrome (CRS), commonly known as cytokine storm, is an acute systemic inflammatory response that is a significant global health threat. Interleukin-6 (IL-6) and interleukin-1 (IL-1) are key pro-inflammatory cytokines involv
Externí odkaz:
https://doaj.org/article/5f93a3f590e5444ea2f8d8872b6aedb3
Autor:
Nathaniel R. Bennett, Brian Coventry, Inna Goreshnik, Buwei Huang, Aza Allen, Dionne Vafeados, Ying Po Peng, Justas Dauparas, Minkyung Baek, Lance Stewart, Frank DiMaio, Steven De Munck, Savvas N. Savvides, David Baker
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-9 (2023)
Abstract Recently it has become possible to de novo design high affinity protein binding proteins from target structural information alone. There is, however, considerable room for improvement as the overall design success rate is low. Here, we explo
Externí odkaz:
https://doaj.org/article/279adbbdbddf4e41bbd9f4a899f986cf
Autor:
Nathaniel Bennett, Brian Coventry, Inna Goreshnik, Buwei Huang, Aza Allen, Dionne Vafeados, Ying Po Peng, Justas Dauparas, Minkyung Baek, Lance Stewart, Frank DiMaio, Steven De Munck, Savvas N. Savvides, David Baker
We explore the improvement of energy-based protein binder design using deep learning. We find that using AlphaFold2 or RoseTTAFold to assess the probability that a designed sequence adopts the designed monomer structure, and the probability that this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67ef1ed5128106ab6a3f74277fb56334
https://doi.org/10.1101/2022.06.15.495993
https://doi.org/10.1101/2022.06.15.495993