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priza Înţelegere student generative modeling for protein structures github carbon Destin Nathaniel Ward

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

Ig-VAE: Generative modeling of protein structure by direct 3D coordinate generation | PLOS Computational Biology
Ig-VAE: Generative modeling of protein structure by direct 3D coordinate generation | PLOS Computational Biology

IJMS | Free Full-Text | Deep Learning-Based Advances in Protein Structure Prediction | HTML
IJMS | Free Full-Text | Deep Learning-Based Advances in Protein Structure Prediction | HTML

Generative Modeling for Protein Structures
Generative Modeling for Protein Structures

Advances in protein structure prediction and design | Nature Reviews Molecular Cell Biology
Advances in protein structure prediction and design | Nature Reviews Molecular Cell Biology

Generative Modeling for Protein Structures
Generative Modeling for Protein Structures

protein-structure-prediction · GitHub Topics · GitHub
protein-structure-prediction · GitHub Topics · GitHub

GitHub - cguerramain/protein-structure-prediction-models: A list of papers using deep learning for protein strucuture prediction.
GitHub - cguerramain/protein-structure-prediction-models: A list of papers using deep learning for protein strucuture prediction.

GitHub - collinarnett/protein_gan: Implementation of "Generative Modeling for Protein Structures" by Namrata Anand and Po-Ssu Huang
GitHub - collinarnett/protein_gan: Implementation of "Generative Modeling for Protein Structures" by Namrata Anand and Po-Ssu Huang

GitHub - Shen-Lab/gcWGAN: Guided Conditional Wasserstein GAN for De Novo Protein Design
GitHub - Shen-Lab/gcWGAN: Guided Conditional Wasserstein GAN for De Novo Protein Design

Protein design and variant prediction using autoregressive generative models | Nature Communications
Protein design and variant prediction using autoregressive generative models | Nature Communications

Generative Modeling for Protein Structures
Generative Modeling for Protein Structures

protein-design · GitHub Topics · GitHub
protein-design · GitHub Topics · GitHub

Expanding functional protein sequence spaces using generative adversarial networks | Nature Machine Intelligence
Expanding functional protein sequence spaces using generative adversarial networks | Nature Machine Intelligence

Fast and Flexible Protein Design Using Deep Graph Neural Networks - ScienceDirect
Fast and Flexible Protein Design Using Deep Graph Neural Networks - ScienceDirect

The generative capacity of probabilistic protein sequence models | Nature Communications
The generative capacity of probabilistic protein sequence models | Nature Communications

A New Diffusion-based Generative Model that Designs Protein Backbone Structures via a Procedure that Mirrors the Native Folding Process - MarkTechPost
A New Diffusion-based Generative Model that Designs Protein Backbone Structures via a Procedure that Mirrors the Native Folding Process - MarkTechPost

AlphaFold: Using AI for scientific discovery
AlphaFold: Using AI for scientific discovery

protein-design · GitHub Topics · GitHub
protein-design · GitHub Topics · GitHub

protein-structure · GitHub Topics · GitHub
protein-structure · GitHub Topics · GitHub

Protein sequence design with a learned potential | Nature Communications
Protein sequence design with a learned potential | Nature Communications

protein-design · GitHub Topics · GitHub
protein-design · GitHub Topics · GitHub

a) Data representation. We represent protein structures using pairwise... | Download Scientific Diagram
a) Data representation. We represent protein structures using pairwise... | Download Scientific Diagram

Ig-VAE: Generative modeling of protein structure by direct 3D coordinate generation | PLOS Computational Biology
Ig-VAE: Generative modeling of protein structure by direct 3D coordinate generation | PLOS Computational Biology

protein-design · GitHub Topics · GitHub
protein-design · GitHub Topics · GitHub

Neural networks to learn protein sequence–function relationships from deep mutational scanning data | PNAS
Neural networks to learn protein sequence–function relationships from deep mutational scanning data | PNAS

GitHub - liponan/structure-generator: A machine learning model that builds amino acids into a protein model.
GitHub - liponan/structure-generator: A machine learning model that builds amino acids into a protein model.

Efficient generative modeling of protein sequences using simple autoregressive models | Nature Communications
Efficient generative modeling of protein sequences using simple autoregressive models | Nature Communications