Georgia Tech researchers created AF2Complex, a deep-learning tool that predicts antibody interactions with proteins, ...

AbiLeap™ leverages one of the largest, most comprehensive databases of antibody-antigen interactions ever constructed, aggregating over five years of curated discovery data from both public and ...

Compared with IF, the principle of RSV RADTs is similar in that a viral antigen is also targeted, but it differs in that it involves the macroscopic detection of signal-labeled antibodies bound to ...

Antibodies that targeted N-terminal M protein ... nanoparticle size and interaction with antigen-presenting cells has been reported for lipopeptides. Lipopeptide-based nanoparticulate vaccine ...

In a dramatic turn of events that makes for some great storytelling, Cidara's novel drug-Fc conjugate, once locked up in a ...

which is binding to two or more different antigens. These antibodies can be good for certain application, but not as good for others, Lazarovits said. Rather than engineering an antibody by ...

AK132 is a bispecific antibody developed by Akeso, targeting the recombinant humanized Claudin18.2 (CLDN18.2) splice variant 2 and CD47 for the treatment of various cancers, including gastric, ...

Advancing investigation of [212Pb]VMT01 as a monotherapy and in combination with the anti-PD-1 antibody, nivolumab, in patients with previously ...

Over the last 2 decades, significant progress has been made in our understanding of the genomics, tumor immune microenvironment, and immunogenicity of malignant melanoma. Historically, the prognosis ...

More information: Mu Gao et al, Improved deep learning prediction of antigen–antibody interactions, Proceedings of the National Academy of Sciences (2024). DOI: 10.1073/pnas.2410529121 ...