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SimpleDesign: A Joint Model for Protein Sequence and Structure Codesign

arXiv · AI, language, vision and robotics · article · Sep 3, 2026 · UTC

Proteins are fundamental to biological processes, with their function determined by the complex interplay between the amino acid sequence and the three-dimensional structure. Developing generative models capable of understanding this intrinsically multi-modal relationship is crucial for fields like drug discovery and protein engineering. Existing models often rely on a multi-stage training process where autoencoders that tokenize data into latent representations are trained in a first stage. Secondly, a generative model is trained on the latent representation of the autoencoder(s), i.e., gener

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First collected: 2026-09-21T05:11:56.580Z. This is not the publication date.