Protein generative model conditioned on Gene Ontology terms
☆35Jul 17, 2022Updated 3 years ago
Alternatives and similar repositories for proteogan
Users that are interested in proteogan are comparing it to the libraries listed below
Sorting:
- Code for "A Deep Learning Framework for Flexible Docking and Design"☆16Sep 29, 2022Updated 3 years ago
- ☆18Mar 13, 2024Updated last year
- Implementation of Protein Invariant Point Packer (PIPPack)☆35May 28, 2024Updated last year
- Code for our paper "Protein sequence design with a learned potential"☆34Aug 5, 2021Updated 4 years ago
- Approximate subgraph motif mining through learnable edge contraction.☆15Aug 3, 2023Updated 2 years ago
- ☆11Aug 5, 2020Updated 5 years ago
- Code for our paper "Protein sequence design with a learned potential"☆82Sep 8, 2023Updated 2 years ago
- Deep reinforcement learning for protein complex modeling☆11May 28, 2022Updated 3 years ago
- protein backbone refinement☆15Sep 12, 2024Updated last year
- Guided Conditional Wasserstein GAN for De Novo Protein Design☆35Feb 23, 2021Updated 5 years ago
- ☆20Oct 4, 2022Updated 3 years ago
- Using Rotamer Interaction Fields from RIFGen/Dock in python☆16May 2, 2021Updated 4 years ago
- Parametric Building of de novo Functional Topologies☆44Mar 11, 2022Updated 3 years ago
- ☆65Sep 14, 2023Updated 2 years ago
- Tool for modelling the CDRs of antibodies☆50Jan 19, 2023Updated 3 years ago
- Controlling the usage of hydrophobic residues on AfDesign for binder peptide design with AlphaFold hallucination protocol☆33Aug 10, 2023Updated 2 years ago
- ☆74Sep 2, 2020Updated 5 years ago
- Codebase for our preprint using trRosetta to design proteins with discontinuous functional sites, found here: https://www.biorxiv.org/con…☆16Oct 27, 2021Updated 4 years ago
- Official implementation of Joint Multidimensional Scaling☆24Nov 19, 2023Updated 2 years ago
- Preforms De novo protein design using machine learning and PyRosetta to generate a novel protein structure☆52Mar 7, 2025Updated 11 months ago
- Steering discrete diffusion models with labeled data for protein fitness optimization☆28Nov 1, 2025Updated 4 months ago
- An antibody-specific language model focusing on NGL prediction☆25Mar 8, 2025Updated 11 months ago
- Code for ICML 2023 paper "Reprogramming Pretrained Language Models for Antibody Sequence Infilling"☆24Sep 18, 2025Updated 5 months ago
- SLIP is a sandbox environment for engineering protein sequences with synthetic fitness functions.☆21Jan 17, 2024Updated 2 years ago
- Bayesian Optimization with Pretrained Protein Sequence Models☆56Jul 27, 2024Updated last year
- GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures☆61Aug 3, 2024Updated last year
- Code for holographic machine learning of proteins☆24Oct 29, 2024Updated last year
- MTAE-based 5UTR design model☆10Jan 23, 2024Updated 2 years ago
- Pytorch/Python3 implementation of DeepAccNet, protein model accuracy evaluator.☆89Jun 18, 2021Updated 4 years ago
- PyTorch implementation for our paper "Proximal Exploration for Model-guided Protein Sequence Design"☆37Aug 7, 2023Updated 2 years ago
- A Novel Approach for Protein Sequence Design Based on Secondary Strucure☆24Mar 7, 2025Updated 11 months ago
- Mono-repo for protein utilities.☆21Oct 26, 2021Updated 4 years ago
- a Transformer-based neural network for generating highly optimized protein sequences called Regularized Latent Space Optimization (RELSO)☆89Jul 6, 2023Updated 2 years ago
- ☆23Jul 4, 2021Updated 4 years ago
- ☆12Nov 16, 2023Updated 2 years ago
- ☆11Apr 25, 2021Updated 4 years ago
- Feynman-Kac steering for controllable protein diffusion☆31Jan 14, 2026Updated last month
- Scripts and data to run AbDesign as described in Tools for protein science 2021☆14Nov 4, 2020Updated 5 years ago
- Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies☆406Sep 3, 2023Updated 2 years ago