I will present deep screening, an ultra-high-throughput approach leveraging the Illumina HiSeq platform for massively parallel sequencing, display, and affinity and kinetics screening at the level up to 109 individual RNA, XNA and protein interactions. Deep screening enabled the rapid discovery of 2-O-methyl-RNA aptamers as well as high-affinity nanobodies (VHH) from immunized-alpaca or yeast display-enriched VHH libraries and single-chain Fv (scFv) antibody leads directly from unselected, synthetic scFv repertoires in a three-day experiment. Deep screening generates large, internally-consistent genotype x phenotype (sequence x binding affinity / kinetics etc.) correlation datasets that can serve as training data for a language-model-enabled machine learning approaches for the rapid in silico generation of novel sequences with even higher affinities. Deep screening promises to accelerate biomolecular discovery for a wide range of modalities and targets.
HYBRID TALK
ZOOM LINK:
https://cl-cam-ac-uk.zoom.us/j/83721191406?pwd=V0xkY0Vvb3czWUJkR0xIZC9qMnM0QT09
