We kick off Season 2 with a great conversation featuring an entrepreneur using high-throughput transcriptomics and AI to innovate drug discovery. Join us to learn how miniaturization and automation are generating astoundingly large transcriptomics data sets and how generative AI methods are being applied to link the structure and activity of small molecules with RNA fingerprints.
Doing something complex and meaningful in a new way requires thinking and acting a bit differently. This is the case with how Dr. Joey Azofeifa, from Arpeggio Bio, is using systems biology to discover new drug candidates.
Join us in this Season 2 kickoff episode where we dive headlong into transcriptomics, systems biology, machine learning, and learn how they’re being used to innovate drug discovery. We learn about 3’-end mRNA barcoding and in-cell reverse transcription methods that allow the pooling of up to 1,536 samples so that only a single library preparation is required while still allowing the deconvolution of RNAseq results. This reduces their RNAseq costs by up to 400-fold, which enables them to generate enormous transcriptomic data sets. We also learn about how they’re using generative adversarial AI networks to use this transcriptomics data to design potential drug candidates. We even hear how one of their drug candidates, which targets iron homeostasis pathways, has progress to successful testing in mice.
To access the transcript for download, please visit - https://www.thermofisher.com/us/en/home/brands/invitrogen/molecular-biology-technologies/speaking-of-mol-bio-podcast.html