#Protein-design
Showing 15 of 15 repositories tagged #protein-design, ranked by stars
List of papers about Proteins Design using Deep Learning
Protein Graph Library
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm
Implementation of Chroma, generative models of protein using DDPM and GNNs, in Pytorch
Codes for our paper "Full-Atom Peptide Design with Geometric Latent Diffusion" (NeurIPS 2024)
A Text-guided Protein Design Framework, Nat Mach Intell 2025 (https://www.nature.com/articles/s42256-025-01011-z)
The first large protein language model trained follows structure instructions.
RITA is a family of autoregressive protein models, developed by LightOn in collaboration with the OATML group at Oxford and the Debora Marks Lab at Harvard.
A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.
[ICML 2025] 🧬 ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation
Implementation of trRosetta and trDesign for Pytorch, made into a convenient package, for protein structure prediction and design
Implementation of Denoising Diffusion for protein design, but using the new Equiformer (successor to SE3 Transformers) with some additional improvements
Preforms De novo protein design using machine learning and PyRosetta to generate a novel protein structure
This is the official repository of paper - GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation (ICML2024)