KrishnaswamyLab / ReLSO-Guided-Generative-Protein-Design-using-Regularized-TransformersLinks
a Transformer-based neural network for generating highly optimized protein sequences called Regularized Latent Space Optimization (RELSO)
☆89Updated 2 years ago
Alternatives and similar repositories for ReLSO-Guided-Generative-Protein-Design-using-Regularized-Transformers
Users that are interested in ReLSO-Guided-Generative-Protein-Design-using-Regularized-Transformers are comparing it to the libraries listed below
Sorting:
- ☆107Updated last year
- ☆110Updated 3 years ago
- A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design☆107Updated last year
- Graph neural network for generating novel amino acid sequences that fold into proteins with predetermined topologies.☆59Updated 4 years ago
- Protein design and variant prediction using autoregressive generative models☆114Updated last year
- Official code repository for the paper "ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers"☆119Updated 7 months ago
- RNA Multiple Sequence Alignment☆46Updated 2 years ago
- Dataset and package for working with protein-protein interactions in 3D☆96Updated 6 months ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆70Updated last year
- Graph Network for protein-protein interface☆120Updated last year
- Protein structure datasets for machine learning.☆112Updated 6 months ago
- Official code repository for EquiFold: Protein Structure Prediction with a Novel Coarse-Grained Structure Representation☆124Updated 2 years ago
- Official repository for discrete Walk-Jump Sampling (dWJS)☆58Updated last year
- Inference code for PoET: A generative model of protein families as sequences-of-sequences☆82Updated last year
- Aligning protein generative models with experimental fitness☆109Updated 2 weeks ago
- ☆80Updated 5 months ago
- ☆69Updated last year
- Gibbs sampling for generating protein sequences☆57Updated 9 months ago
- Code for our paper "Protein sequence design with a learned potential"☆80Updated 2 years ago
- Contrastive fitness learning: Reprogramming protein language models for low-N learning of protein fitness landscape☆33Updated last year
- Joint embedding of protein sequence and structure with discrete and continuous compressions of protein folding model latent spaces. http:…☆142Updated 6 months ago
- ☆59Updated 2 years ago
- Protein design and variant prediction using autoregressive generative models☆24Updated 2 years ago
- The Enhanced Database of Interacting Protein Structures for Interface Prediction☆50Updated 2 months ago
- Generating and scoring novel enzyme sequences with a variety of models and metrics☆71Updated 4 months ago
- ☆70Updated 4 years ago
- Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies☆91Updated 2 years ago
- MSA Transformer reproduction code☆86Updated 4 years ago
- Directed evolution of proteins in sequence space with gradients☆91Updated last week
- LoRA for protein language models☆43Updated last year