A new dataset for predicting antigen-antibody interactions, published in the prestigious machine learning conference NeurIPS 2023, will help accelerate AI drug discovery KYOTO, Japan--(BUSINESS WIRE)- ...
With the ever-increasing pace of biological research, there is a plethora of headlines describing novel and fascinating discoveries about our natural world. What’s easy to overlook, however, is the ...
SEATTLE, May 16, 2023 — A-Alpha Bio, a synthetic biology and machine learning company that measures and engineers protein-protein interactions, and Lawrence Livermore National Laboratory (LLNL) today ...
Cytokines and chemokines released from the interaction of anti-HER2/anti-CD3 bispecific antibody armed activated T cells (ATC) with the tumor microenvironment can induce efficient antigen presentation ...
In 2020, as scientists around the world were racing to understand COVID-19, Prof. Roy Bar-Ziv and his team at the Weizmann ...
Scientists from the US have recently characterized a panel of anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies to identify molecular features of public antibody responses ...
In a recent article published in the Science Immunology Journal, researchers probed for antibody binding against all seven human coronaviruses (hCoVs) and 49 animal coronaviruses (aCoVs) represented ...
Researchers have developed a new strategy that allows engineered T cells to recognize and respond to a single tumour antigen ...
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