Antibody Engineering
Engineering and lead optimization
OPTIMIZE ANTIBODIES FOR YOUR DRUG DEVELOPMENT PIPELINE
YUMAB offers advanced bioinformatics and engineering technologies to improve and optimize existing antibody candidates (also from other sources, e.g. hybridoma). The art of antibody engineering involves a combination of in-vitro and AI-assisted in silico technologies to optimize clinically relevant properties.
Yucare
Placing priority on developability, safety, and efficacy
YUMAB’s YuCARE™ is our integrated AI-driven in silico toolbox for advanced lead candidate selection, antibody engineering, and sequence optimization – designed to generate high-quality candidates for clinical development.
By combining state-of-the-art AI and bioinformatic prediction with rigorous experimental wet-lab validation, we bridge computational design and real-world performance. Instead of testing only individual variants, we design and screen large, highly diverse antibody libraries—ranging from millions to billions of AI-guided sequences—to maximize the probability of identifying optimal candidates.
YuCARE™ enables the generation of AI-guided CDR mutagenesis libraries for affinity maturation that are simultaneously optimized for developability and rapidly validated within our high-throughput experimental workflow.
In addition, we collaborate with external AI partners by providing advanced wet-lab screening and validation capabilities to accelerate antibody discovery and engineering programs.
