Workshop "AI and Genetic Computer"

Abstract

The cell operates as a sophisticated biological computer, executing complex algorithms encoded within the genome. With the advent of high-throughput omics technologies, we now have unprecedented access to the multi-layered signals that govern its functions - DNA secondary structures and epigenetic marks to non-coding RNA and chromatin organization. However, deciphering the fundamental logic of this "genetic computer" remains one of the most pressing challenges in biology and medicine.

This workshop, "AI and the Genetic Computer," will bridge the gap between cutting-edge computational methods and molecular biology to model and manipulate the core programs that control cell fate. We will explore how advanced deep learning techniques can model the rewiring of genetic programs in response to perturbation, and how generative AI architectures are creating unified representations of multi-omics data. The agenda will also cover the latest trends in AI-driven structural biology for molecular docking and therapeutic intervention, as well as the application of AI platforms to navigate complex intellectual property landscapes and accelerate translation. Ultimately, we will investigate how these diverse computational approaches converge to solve the fundamental question of how the genetic computer processes noisy, analog inputs into precise digital decisions governing cell fate.