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Structure-Aware Large Language Model Improves the Prediction of Antibody-Antigen Interaction

This repository contains the code, and datasets for our paper.

Overview

Repository Overview

This repository is organized as follows:

  • Classifiers/: Source code for the implementation of the classifiers described in the paper.
  • Data/: Processed dataset used in the experiments (or links to download them).
  • Analysis/: Precomputed results, plots, or outputs from the experiments.
  • Pretrained LLMs/: Code for pretrained LLMs and training.

Dependencies

To run the code in this repository, you will need:

  • Python >= 3.10
  • Pytorch

Citation

If you use this code or dataset in your research, please cite:

@article{your_paper,
title={Your Paper Title},
author={Your Name and Co-Authors},
journal={Journal/Conference Name},
year={Year},
pages={XX-XX},
doi={DOI Link}
}

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Structure aware LLMs to predict antibody-antigen interactions focusing on SARS-CoV-2 variants.

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  • Jupyter Notebook 57.8%
  • Python 42.2%