https://github.com/ornl/affinity_pred
Protein-ligand affinity prediction using NLP
https://github.com/ornl/affinity_pred
artificial-intelligence machine-learning nlp
Last synced: about 1 year ago
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Protein-ligand affinity prediction using NLP
- Host: GitHub
- URL: https://github.com/ornl/affinity_pred
- Owner: ORNL
- License: bsd-3-clause
- Created: 2021-05-24T22:47:01.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2022-10-12T20:58:13.000Z (over 3 years ago)
- Last Synced: 2025-03-24T20:23:16.792Z (about 1 year ago)
- Topics: artificial-intelligence, machine-learning, nlp
- Language: Jupyter Notebook
- Homepage:
- Size: 967 KB
- Stars: 6
- Watchers: 2
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# affinity_pred: Affinity prediction for protein-ligand complexes
This repository implements a transformer model for binding affinity prediction of small molecules in complex with proteins, as described in the paper
[Language models for the prediction of SARS-CoV-2 inhibitors](https://doi.org/10.1177/10943420221121804)
Local installation
```
pip install git+https://github.com/ORNL/affinity_pred
```
Evaluation on Google Colab
- [Regex tokenizer model](./eval_regex.ipynb)[](https://colab.research.google.com/github/ORNL/affinity_pred/blob/master/eval_regex.ipynb)
- [BERT tokenizer model](./eval_bert.ipynb) [](https://colab.research.google.com/github/ORNL/affinity_pred/blob/master/eval_bert.ipynb)
Validation on SARS-CoV-2 Mpro experimental data

The model weights are downloaded from [Huggingface Hub](https://huggingface.co/jglaser)