SLIP is a sandbox environment for engineering protein sequences with synthetic fitness functions.
☆20Jan 17, 2024Updated 2 years ago
Alternatives and similar repositories for slip
Users that are interested in slip are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Cross-protein transfer learning for variant effect prediction☆21Sep 13, 2023Updated 2 years ago
- Display PackedPose objects, Pose objects, or PDB files within a Jupyter notebook and Google Colab☆11Jun 28, 2026Updated last month
- Neural network model for prediction of amino-acid sequence from a protein backbone structure☆25Mar 5, 2025Updated last year
- Generating and scoring novel enzyme sequences with a variety of models and metrics☆72Feb 21, 2026Updated 5 months 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
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- A machine-learning package for navigating combinatorial protein fitness landscapes.☆138Nov 17, 2021Updated 4 years ago
- Some scripts that I keep using over and over.☆21Jul 5, 2025Updated last year
- ☆18Mar 13, 2024Updated 2 years ago
- ☆11Apr 25, 2021Updated 5 years ago
- ☆15Apr 3, 2025Updated last year
- a Transformer-based neural network for generating highly optimized protein sequences called Regularized Latent Space Optimization (RELSO)☆90Jul 6, 2023Updated 3 years ago
- ☆37Oct 16, 2024Updated last year
- Implementation of Protein Invariant Point Packer (PIPPack)☆37May 28, 2024Updated 2 years ago
- Bayesian Optimization with Pretrained Protein Sequence Models☆56Jul 27, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for holographic machine learning of proteins☆25Oct 29, 2024Updated last year
- Ultra-fast in-silico structure mutation☆37Apr 9, 2025Updated last year
- Code for our paper "Protein sequence design with a learned potential"☆34Aug 5, 2021Updated 5 years ago
- GitHub for AI4PD 2023 Workshop in Chile☆12Oct 12, 2023Updated 2 years ago
- A standard library for biological research.☆38Sep 2, 2025Updated 11 months ago
- Implementation of Evolutionary and Metropolis Hastings Monte Carlo for text based (e.g. nucleotide/peptide) sequences☆13Mar 7, 2024Updated 2 years ago
- A series of scripts that facilitate the prediction of user-defined protein structural properties using AlphaFold2☆12Aug 28, 2023Updated 2 years ago
- ☆61Nov 21, 2022Updated 3 years ago
- Protein Sequence Design with Deep Learning and Tooling like Monte Carlo Sampling and Analysis☆62Oct 28, 2025Updated 9 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Interpretation by Deep Generative Masking for Biological Sequences☆37Dec 9, 2021Updated 4 years ago
- Explore protein fold space with deep generative models☆16Aug 5, 2024Updated 2 years ago
- Building more accurate protein structures from backbone torsion angles☆16Mar 21, 2025Updated last year
- ☆11Aug 3, 2023Updated 3 years ago
- ☆15Mar 28, 2025Updated last year
- Structural space exploration of AlphaFold DB☆12Oct 8, 2021Updated 4 years ago
- ☆14May 19, 2024Updated 2 years ago
- ☆18Dec 22, 2017Updated 8 years ago
- A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design☆137Apr 23, 2026Updated 3 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- protein backbone refinement☆15Sep 12, 2024Updated last year
- ☆11Feb 3, 2026Updated 6 months ago
- Official repository for the paper "Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval"☆170Aug 24, 2023Updated 2 years ago
- Mono-repo for protein utilities.☆21Oct 26, 2021Updated 4 years ago
- Autoregressive networks for protein☆38Feb 27, 2025Updated last year
- Attempt at reproduction of AlphaFold2☆98Jul 30, 2026Updated 2 weeks ago
- Deep reinforcement learning for protein complex modeling☆11May 28, 2022Updated 4 years ago