brsynth / active_learning_cell_freeLinks
Scripts to perform active learning as described in the referenced article.
☆13Updated last year
Alternatives and similar repositories for active_learning_cell_free
Users that are interested in active_learning_cell_free are comparing it to the libraries listed below
Sorting:
- Generator and regressor neural networks for antimicrobial peptides☆25Updated last year
- Computational tools for extremely low-cost, massively parallel amplicon-based sequencing of every variant in protein mutant libraries.☆34Updated 3 years ago
- ☆43Updated 11 months ago
- Simple python interface for the OpenProtein.AI REST API.☆12Updated last week
- DE-STRESS is a model evaluation pipeline that aims to make protein design more reliable and accessible.☆27Updated 6 months ago
- Graph Network for protein-protein interface including language model features☆32Updated last year
- Protein discovery tool for mining in the Alphafold database based on the position of few amino acids.☆24Updated 2 months ago
- A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.☆40Updated 2 years ago
- GTalign, high-performance protein structure alignment, superposition and search☆49Updated 2 weeks ago
- Rapid protein-protein interaction network creation from multiple sequence alignments with Deep Learning☆90Updated last year
- Deciphering protein evolution and fitness landscapes with latent space models☆34Updated 3 years ago
- scripts and facilities for in-silico mutagenesis with FoldX☆59Updated last month
- Python interface for the RCSB search API.☆20Updated last year
- Machine learning prediction of enzyme optimum pH☆44Updated 4 months ago
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆59Updated 4 years ago
- A tool for accurate prediction of a protein's secondary structure from only it's amino acid sequence☆58Updated 5 months ago
- ☆30Updated last year
- A Memetic Algorithm boosts accuracy and speed of all-atom protein-protein docking☆29Updated 2 months ago
- Source code for fitting thermodynamic models (MoCHI), downstream analyses and to reproduce all figures in the following publication: Mapp…☆21Updated 2 years ago
- ☆52Updated 3 weeks ago
- Python package to atom map, correct and suggest enzymatic reactions☆40Updated last year
- Fast and accurate protein structure prediction☆54Updated 7 months ago
- Rendering protein mutation movies from predicted 3D structures☆20Updated last year
- An ultra-high-performance protein-protein docking for heterogeneous supercomputers☆63Updated last year
- Repository for Protein-Vec, a protein embedding mixture of experts model☆38Updated last year
- Fragment binding prediction with ColabFold☆37Updated 5 months ago
- Fast AlphaFold-Multimer based pipeline for Protein-Protein Interaction (PPI) screening☆39Updated 11 months ago
- Active Learning-Assisted Directed Evolution for Protein Engineering☆65Updated 9 months ago
- 2D portraits of 3D protein structures☆25Updated last week
- Machine learning-driven antibody design☆60Updated 2 years ago