Antibodies are like tailor-made keys that unlock specific parts of diseases. They allow scientists to better understand the disease mechanisms at work and speed up research-to-clinical translation, thereby improving patient outcomes.

However, generating sensitive and selective tool antibodies that can withstand high-throughput immunoassays is challenging. As antibody characterization becomes increasingly critical to bioanalytical applications, such as pharmacokinetic (PK) and anti-drug antibodies (ADA) assays, it is important to choose the right method for your project.

How Custom Antibodies Accelerate Drug Discovery  can be a bottleneck in drug discovery processes, and overcoming this hurdle requires innovative technologies. New HT-SPR systems, such as Carterra’s LSA platform that was released in 2018, use sensor chips to study 384 antibodies at once – 100 times more data than the previous standard, which only allowed for eight antibody experiments at a time.

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In addition to the increase in throughput, these new systems also enable the detection of subtle changes in the antibody’s structure that may affect binding and antigen recognition. These changes include post-translational modifications, such as phosphorylation, sumoylation, myristoylation, and acetylation, as well as specific states of the antibody, such as drug binding, ubiquitination, glycosylation, isoforms, splice variants, and more.

Moreover, these new systems can be utilized for in vivo studies that require mouse models. By utilizing antibody fragments, such as disulfide-stabilized Fv antibody fragment and Fab fragment antibodies, researchers can avoid inadvertent immune responses in the model organism. Additionally, these new systems can be used to generate antibodies raised in non-murine species such as llamas. These single-chain antibodies offer smaller size, robust stability, and exceptional binding affinity compared to murine monoclonal antibodies, making them ideal for specialized applications, such as flow cytometry.