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. Author manuscript; available in PMC: 2023 Aug 20.
Published in final edited form as: Nat Biotechnol. 2022 Oct 3;40(11):1617–1623. doi: 10.1038/s41587-022-01432-w

Figure 1. Organization and application of RGN2.

Figure 1.

RGN2 combines a Transformer-based protein language model (AminoBERT; yellow) with a recurrent geometric network that utilizes Frenet-Serret frames to generate the backbone structure of a protein (green). Placement of side chain atoms and refinement of hydrogen-bonded networks are subsequently performed using the Rosetta energy function (blue).