Generative Modelling

RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design
RNA-FrameFlow is a generative model for 3D RNA backbone design based on SE(3) flow matching. We evaluated the extent to which protein generative models can be adapted for RNA.
Rishabh Anand, Chaitanya K. Joshi, Alex Morehead, Arian R. Jamasb, Charles Harris, Simon V. Mathis, Kieran Didi, Bryan Hooi, Pietro Liò
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RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design
gRNAde: Geometric Deep Learning for 3D RNA Inverse Design
gRNAde is a geometric deep learning pipeline for 3D RNA inverse design, analogous to ProteinMPNN. gRNAde outperforms physically-based Rosetta and is significantly faster. (Invited book chapter for Methods in Molecular Biology)
Chaitanya K. Joshi, Arian R. Jamasb, Ramon Viñas, Charles Harris, Simon V. Mathis, Alex Morehead, Rishabh Anand, Pietro Liò
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gRNAde: Geometric Deep Learning for 3D RNA Inverse Design