Antibody Industry Trends

Biointron’s Q2 2026 Antibody Industry Trends report aims to explore the events and trends of the biopharmaceutical industry in April, May, and June. This quarter, six novel monoclonal antibody drugs have received first approval.

Autoimmune diseases are a group of disorders in which the immune system targets the body’s own tissues, resulting in chronic inflammation, tissue injury, and, in some cases, systemic dysfunction. In some conditions, long-lived immune cells remain capable of restarting the same pathogenic response.

Antibodies are important raw materials for many in vitro diagnostic (IVD) applications, including enzyme-linked immunosorbent assays, chemiluminescent immunoassays, lateral flow assays, and particle-based immunoassays.

For decades, many disease-driving proteins were described as undruggable because they lacked suitable binding pockets for small-molecule drugs or were inaccessible to conventional biologics. Antibodies face an especially clear limitation: they generally bind proteins located on the cell surface or secreted into the extracellular environment, while many major cancer drivers, including KRAS, p53, and transcription factors, operate inside cells.

The first wave of antibody drugs against COVID-19 showed both the promise and the limitations of this form of treatment. Researchers are now exploring ways to develop antibodies that remain effective against a wider range of variants, while also using artificial intelligence to analyze viral evolution and guide protein design.

TED is a rare, debilitating disease that can cause eye dryness and redness, eyelid swelling or retraction, bulging eyes (proptosis), double vision, and, in severe cases, vision impairment.

Artificial intelligence is changing how researchers think about antibody discovery. For decades, antibody programs have usually started with experimental screening.

Seasonal influenza causes an estimated one billion infections, 3-5 million severe cases, and 300,000-500,000 deaths globally each year. According to a recent review, existing vaccines provide variable protection because their effectiveness depends on how closely vaccine strains match circulating viruses. Influenza also evolves through antigenic drift and, less frequently, antigenic shift, while resistance can reduce the effectiveness of antiviral drugs.

Artificial intelligence can now help researchers analyze antibody sequences, predict structures, prioritize mutations, optimize candidate properties, and generate entirely new antibody sequences. These capabilities are changing what can be proposed computationally, but every proposed sequence raises the practical question: will the antibody actually work?

Degrader-antibody conjugates, or DACs, combine the targeting ability of antibodies with the intracellular activity of targeted protein degraders. Instead of delivering a conventional cytotoxic payload, they are designed to deliver a molecule that eliminates a specific disease-driving protein inside selected cells.

Bispecific antibody-drug conjugates, or BsADCs, combines the payload-delivery function of an ADC with the dual-recognition capacity of a bispecific antibody. Instead of binding one antigen or one epitope, the antibody component can be designed to recognize two different antigens, or two distinct epitopes on the same antigen. This added specificity may improve tumor selectivity, increase internalization, or broaden activity across heterogeneous tumors.

Programmable antibodies can describe several related approaches that make antibody-based systems more designable and controllable. A traditional antibody has two main functional parts: the Fab region, which recognizes a target antigen, and the Fc region, which interacts with immune receptors and helps determine downstream immune activity.