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:
- Computational tools for extremely low-cost, massively parallel amplicon-based sequencing of every variant in protein mutant libraries.☆34Updated 3 years ago
- GTalign, HPC protein structure alignment, superposition and search (alpha release)☆45Updated 4 months ago
- Generator and regressor neural networks for antimicrobial peptides☆23Updated last year
- ☆39Updated 8 months ago
- Rapid protein-protein interaction network creation from multiple sequence alignments with Deep Learning☆88Updated last year
- Python package to manage protein structures and their annotations☆43Updated last year
- ☆49Updated 2 months ago
- Fast and accurate protein structure prediction☆52Updated 4 months ago
- Machine learning prediction of enzyme optimum pH☆41Updated last month
- ☆30Updated last year
- Machine Learning models for in vitro enzyme kinetic parameter prediction☆45Updated last month
- METIS: A versatile active learning workflow for optimization of genetic and metabolic networks☆28Updated 2 years ago
- Machine learning prediction of enzyme optimum pH☆14Updated last month
- Feature map and function annotation of Proteins☆33Updated 11 months ago
- A Python parser for the BRENDA database☆31Updated last year
- A tool for accurate prediction of a protein's secondary structure from only it's amino acid sequence☆54Updated 2 months ago
- Simple python interface for the OpenProtein.AI REST API.☆10Updated 3 weeks ago
- Physicochemical properties, indices and descriptors for amino-acid sequences.☆94Updated last month
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆58Updated 4 years ago
- Python package to atom map, correct and suggest enzymatic reactions☆38Updated last year
- DE-STRESS is a model evaluation pipeline that aims to make protein design more reliable and accessible.☆24Updated 3 months ago
- scripts and facilities for in-silico mutagenesis with FoldX☆56Updated 5 months ago
- A domain parser for Alphafold models☆38Updated last year
- ☆37Updated 2 years ago
- Active Learning-Assisted Directed Evolution for Protein Engineering☆57Updated 6 months ago
- Mutation effects predicted from sequence co-variation☆65Updated 7 years ago
- ☆15Updated 2 years ago
- Graph Network for protein-protein interface including language model features☆32Updated last year
- ☆36Updated 7 months ago
- Detection of remote homology by comparison of protein language model representations☆53Updated 5 months ago