Denoising the Noise BioML Journal Club - De novo design of RNA pseudoknots with deep learning
ABOUT THIS EVENT
- WHO IT IS FOR: Researchers, computational biologists, and AI enthusiasts interested in the intersection of deep learning and structural biology.
- WHAT IT IS ABOUT: An exploration of de novo design of complex RNA pseudoknot structures using advanced generative deep learning methods.
- FORMAT: An academic journal club discussion featuring a presentation and group dialogue.
Join the Denoising the Noise BioML Journal Club for an insightful session on the cutting edge of computational biology. This installment focuses on the groundbreaking work regarding the de novo design of RNA pseudoknots using deep learning techniques, specifically examining the OpenKnot AI challenge.
Our presenters will discuss how generative AI methods compare to expert human designers in creating complex RNA structures. We will dive into how these AI-generated designs, primarily developed at the secondary-structure level, successfully fold into well-ordered 3D structures upon experimental validation.
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