Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Julia Doelger"'
Autor:
Ang Gao, Zhilin Chen, Assaf Amitai, Julia Doelger, Vamsee Mallajosyula, Emily Sundquist, Florencia Pereyra Segal, Mary Carrington, Mark M. Davis, Hendrik Streeck, Arup K. Chakraborty, Boris Julg
Publikováno v:
iScience, Vol 24, Iss 4, Pp 102311- (2021)
Summary: We describe a physics-based learning model for predicting the immunogenicity of cytotoxic T lymphocyte (CTL) epitopes derived from diverse pathogens including SARS-CoV-2. The model was trained and optimized on the relative immunodominance of
Externí odkaz:
https://doaj.org/article/874d4f9281b64d1cbb85c2625a8ff922
Publikováno v:
Physical review. E. 105(2-1)
There still are no effective long-term protective vaccines against viruses that continuously evolve under immune pressure such as seasonal influenza, which has caused, and can cause, devastating epidemics in the human population. For finding such a b
Autor:
Assaf Amitai, Vamsee Mallajosyula, Mary Carrington, Emily Sundquist, Julia Doelger, Boris Julg, Mark M. Davis, Florencia P Segal, Arup K. Chakraborty, Zhilin Chen, Ang Gao, Hendrik Streeck
Publikováno v:
bioRxiv
article-version (status) pre
article-version (number) 2
Elsevier
iScience, Vol 24, Iss 4, Pp 102311-(2021)
iScience
article-version (status) pre
article-version (number) 2
Elsevier
iScience, Vol 24, Iss 4, Pp 102311-(2021)
iScience
We describe a physics-based learning model for predicting the immunogenicity of Cytotoxic-T-Lymphocyte (CTL) epitopes derived from diverse pathogens including SARS-CoV-2. The model was trained and optimized on the relative immunodominance of CTL epit