The Problem: Artificial intelligence and rational monoclonal antibody (mAb) design algorithms are creating new opportunities for the rapid discovery of mAbs for therapeutic and diagnostic use. However, the large numbers of mAbs designed by these methods cannot be efficiently expressed and evaluated in mammalian cells using conventional mAb expression methods.
mAb libraries(IgG, scFv, or VHH formats) are expressed in 293T OCMS cells and sorted into groups on the basis of Ig expression and antigen binding. NGS analysis of bulk sequencing data (including binders and non-binders) informs the next generation library.