Evolutionary characterization of recent human H3N2 influenza A isolates from Japan and China: novel changes in the receptor binding domain

1996 ◽  
Vol 141 (7) ◽  
pp. 1349-1355 ◽  
Author(s):  
S. Lindstrom ◽  
S. Sugita ◽  
A. Endo ◽  
M. Ishida ◽  
P. Huang ◽  
...  
FEBS Letters ◽  
1994 ◽  
Vol 344 (2-3) ◽  
pp. 242-246 ◽  
Author(s):  
Thor Las Holtet ◽  
Kåre Lehmann Nielsen ◽  
Michael Etzerodt ◽  
Søren Kragh Moestrup ◽  
Jørgen Gliemann ◽  
...  

2021 ◽  
Author(s):  
Allison J Greaney ◽  
Tyler N Starr ◽  
Jesse D Bloom

A key goal of SARS-CoV-2 surveillance is to rapidly identify viral variants with mutations that reduce neutralization by polyclonal antibodies elicited by vaccination or infection. Unfortunately, direct experimental characterization of new viral variants lags their sequence-based identification. Here we help address this challenge by aggregating deep mutational scanning data into an "escape calculator" that estimates the antigenic effects of arbitrary combinations of mutations to the virus's spike receptor-binding domain (RBD). The calculator can be used to intuitively visualize how mutations impact polyclonal antibody recognition, and score the expected antigenic effect of combinations of mutations. These scores correlate with neutralization assays performed on SARS-CoV-2 variants, and emphasize the ominous antigenic properties of the recently described Omicron variant. An interactive version of the calculator is at https://jbloomlab.github.io/SARS2_RBD_Ab_escape_maps/escape-calc/, and we provide a Python module for batch processing.


2001 ◽  
Vol 276 (20) ◽  
pp. 17111-17116 ◽  
Author(s):  
Sanjay Singh ◽  
Kailash Pandey ◽  
Rana Chattopadhayay ◽  
Syed Shams Yazdani ◽  
Andrew Lynn ◽  
...  

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