antibody_development

Epitope characterization shapes antibody science. Biointron outlines how mapping epitopes advances research, design, and development of therapeutic antibodies.

MAGMA-seq is an integrated technology for antibody wide mutational scanning. DOI:10.1038/s41467-024-48072-zThe use of bioinformatics and computational methods were of high interest in several papers published this past week. Protein language models, akin to natural language processing tools, p

Fc-mediated antibody effector functions play an important role in the humoral immune response and form a necessary link between innate and adaptive immunity. The constant (Fc) region is the tail portion of an antibody that interacts with other components of the immune system, such as immune cells and complement proteins. Well-known functions include opsonization, antibody-dependent cell-mediated cytotoxicity (ADCC), antibody-dependent cellular phagocytosis (ADCP), and complement activation.

Deep learning brings structural modeling of antibodies to new heights. Explore where it succeeds, where it fails, and hybrid strategies that deliver reliable outcomes.

Harnessing big data in antibody engineering means smarter designs. Explore key databases, their contents, and how to use them to benchmark, compare, and innovate.

Structure modeling platforms from AlphaFold to Rosetta guide smarter antibody design. Learn strengths, caveats, and how to pair predictions with experimental validation.

Deep learning models are redefining antibody research. See how architectures and datasets translate into real-world gains in discovery, screening, and optimization.