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Efficiently develop and characterize recombinant monoclonal antibodies (mAbs) from early discoveries through clinical research and manufacturing by integrating genetic analysis early into your workflows. Utilize reliable analytical approaches to identify and characterize targets, discover scientifically relevant biomarkers, advance clone and cell line development, and detect even trace levels of contamination. Help support the qualty and performance of your products.
Smarter antibody-drug conjugates (ADCs) begin with better genetic insights. This eBook explores how genetic analysis supports ADC development, from target identification and screening to antibody engineering and payload conjugation, process development, and quality control. Learn how genetic technologies can help optimize mAb design, improve ADC performance, by de-risking the development of targeted therapies.
Explore this interactive infographic that brings the complexity of antibody-drug conjugate development into clear focus, starting at early mAb design through process development, quality control, and clinical research. Use genetic precision to help optimize antibody performance, stability, and uncover critical biomarkers. This engaging resource shows how integrated genetic solutions can streamline workflows, help reduce risk, and further progress the path to next-generation therapeutics.
Genetic technologies can help accelerate and de-risk mAb and ADC development
Use genetic technologies to generate deeper biological insights, inform critical development decisions, and help de-risk your monoclonal antibody (mAb) and antibody-drug conjugate (ADC) programs. Explore each workflow stage to discover where genetic technologies can streamline development and help advance the right candidates, fast.
The research and discovery stage focuses on identifying promising monoclonal antibody (mAb) and antibody-drug conjugate (ADC) candidates, their optimization through engineering, while generating the molecular data needed to confidently advance development.
Process and analytical development transform promising antibody candidates into reproducible, scalable manufacturing workflows supported by robust analytical methods
Quality control workflows check that every production batch meets analytical regulatory requirements for identity, purity, potency, and contaminant testing
Clinical research uses genetic technologies to identify biomarkers and investigate potential therapeutic outcomes.
For Research Use Only. Not for use in diagnostic procedures.