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)- ...
In a recent study published in Nature Machine Intelligence, a team of researchers used a deep antibody-antigen interaction (DeepAAI) algorithm to understand the antibody representations of unseen ...
KYOTO, Japan--(BUSINESS WIRE)--A joint research paper on artificial intelligence (AI)-driven drug discovery by “SAKURA internet Research Center,” an in-house research institute of SAKURA internet Inc.
Agglutination assays are widely used immunological sensors based on antigen-antibody interactions that result in clumping of antibody-coated microscopic particles. Once the sample—for example, a ...
Antibodies represent the fastest growing class of drugs in the market today, with over 60 antibody drugs currently approved for use and more than 550 in clinical development 1. They are highly ...
Subscribe to our newsletter for the latest sci-tech news updates. Proteins that respond to external stimuli function as molecular switches, playing a vital role in the precise regulation of biological ...