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.