Ig-VAE: Generative modeling of protein structure by direct 3D coordinate generation | PLOS Computational Biology
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Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models | Data-driven modeling of protein structure and sequence.
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Ultrafast end-to-end protein structure prediction enables high-throughput exploration of uncharacterized proteins | PNAS
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New deep-learned tool designs novel proteins with high accuracy | by LucianoSphere | Towards Data Science
Ig-VAE: Generative modeling of protein structure by direct 3D coordinate generation | PLOS Computational Biology
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A New Diffusion-based Generative Model that Designs Protein Backbone Structures via a Procedure that Mirrors the Native Folding Process - MarkTechPost
GitHub - collinarnett/protein_gan: Implementation of "Generative Modeling for Protein Structures" by Namrata Anand and Po-Ssu Huang
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