Removing a key barrier to unlock the full potential of RNA

Atomic AI’s technology has been featured on the cover of Science in the article “Geometric deep learning of RNA structure.”

Atomic AI’s proprietary AI-driven 3D RNA structure engine, known as PARSE, generates RNA structural datasets, integrating machine learning foundation models with large-scale, in-house experimental wet-lab biology to unveil functional binders to RNA targets.

Our groundbreaking technology has the ability to predict structured, ligandable RNA motifs at unprecedented speed and accuracy, a key barrier to current approaches in RNA drug discovery.

By uniting these algorithmic advances with large-scale experimental biology, we enable the design of novel RNA-targeting and RNA-based medicines to treat currently undruggable diseases.

Exploiting our database of discovered and designed 3D RNA structures, we plan to develop a pipeline of rationally designed small molecule drug candidates.