Targeting neuraminidase: the next frontier for broadly protective influenza vaccines
NC Wu, AH Ellebedy - Trends in Immunology, 2023 - cell.com
Current seasonal influenza vaccines, which mainly target hemagglutinin (HA), require
annual updates due to the continuous antigenic drift of the influenza virus. Developing an …
annual updates due to the continuous antigenic drift of the influenza virus. Developing an …
Improving antibody language models with native pairing
SM Burbach, B Briney - Patterns, 2024 - cell.com
Existing antibody language models are limited by their use of unpaired antibody sequence
data. A recently published dataset of∼ 1.6× 10 6 natively paired human antibody sequences …
data. A recently published dataset of∼ 1.6× 10 6 natively paired human antibody sequences …
Linguistics-based formalization of the antibody language as a basis for antibody language models
Apparent parallels between natural language and antibody sequences have led to a surge
in deep language models applied to antibody sequences for predicting cognate antigen …
in deep language models applied to antibody sequences for predicting cognate antigen …
Disease diagnostics using machine learning of immune receptors
Clinical diagnoses rely on a wide variety of laboratory tests and imaging studies, interpreted
alongside physical examination findings and the patient's history and symptoms. Currently …
alongside physical examination findings and the patient's history and symptoms. Currently …
[HTML][HTML] Supervised fine-tuning of pre-trained antibody language models improves antigen specificity prediction
M Wang, J Patsenker, H Li, Y Kluger, SH Kleinstein - bioRxiv, 2024 - ncbi.nlm.nih.gov
Antibodies play a crucial role in adaptive immune responses by determining B cell specificity
to antigens and focusing immune function on target pathogens. Accurate prediction of …
to antigens and focusing immune function on target pathogens. Accurate prediction of …