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Deep screening of RNA, XNA and protein interactions

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If you have a question about this talk, please contact Pietro Lio.

https://cl-cam-ac-uk.zoom.us/j/83721191406?pwd=V0xkY0Vvb3czWUJkR0xIZC9qMnM0QT09

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

This talk is part of the Artificial Intelligence Research Group Talks (Computer Laboratory) series.

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