![Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models | Data-driven modeling of protein structure and sequence. Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models | Data-driven modeling of protein structure and sequence.](https://nanand2.github.io/proteins/assets/rama_topology_gen.png)
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models | Data-driven modeling of protein structure and sequence.
GitHub - cguerramain/protein-structure-prediction-models: A list of papers using deep learning for protein strucuture prediction.
![Efficient generative modeling of protein sequences using simple autoregressive models | Nature Communications Efficient generative modeling of protein sequences using simple autoregressive models | Nature Communications](https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fs41467-021-25756-4/MediaObjects/41467_2021_25756_Fig1_HTML.png)
Efficient generative modeling of protein sequences using simple autoregressive models | Nature Communications
Ig-VAE: Generative modeling of protein structure by direct 3D coordinate generation | PLOS Computational Biology
![New deep-learned tool designs novel proteins with high accuracy | by LucianoSphere | Towards Data Science New deep-learned tool designs novel proteins with high accuracy | by LucianoSphere | Towards Data Science](https://miro.medium.com/max/1000/1*0IKoijPxutZCjUsD48PLPw.png)
New deep-learned tool designs novel proteins with high accuracy | by LucianoSphere | Towards Data Science
![a) Data representation. We represent protein structures using pairwise... | Download Scientific Diagram a) Data representation. We represent protein structures using pairwise... | Download Scientific Diagram](https://i1.rgstatic.net/publication/361585740_Ig-VAE_Generative_modeling_of_protein_structure_by_direct_3D_coordinate_generation/links/62dad9fbf3acdd5dc20f2705/largepreview.png)
a) Data representation. We represent protein structures using pairwise... | Download Scientific Diagram
GitHub - collinarnett/protein_gan: Implementation of "Generative Modeling for Protein Structures" by Namrata Anand and Po-Ssu Huang
![Expanding functional protein sequence spaces using generative adversarial networks | Nature Machine Intelligence Expanding functional protein sequence spaces using generative adversarial networks | Nature Machine Intelligence](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs42256-021-00310-5/MediaObjects/42256_2021_310_Fig1_HTML.png)
Expanding functional protein sequence spaces using generative adversarial networks | Nature Machine Intelligence
![De Novo Molecule Design Using Molecular Generative Models Constrained by Ligand–Protein Interactions | Journal of Chemical Information and Modeling De Novo Molecule Design Using Molecular Generative Models Constrained by Ligand–Protein Interactions | Journal of Chemical Information and Modeling](https://pubs.acs.org/cms/10.1021/acs.jcim.2c00177/asset/images/medium/ci2c00177_0015.gif)