This is the official repository of MuTarget paper.

Usage

Installation

Clone the repository and navigate into the directory:

git clone [this part will be updated] 
cd [...]

To use this project, do as the following to install the dependencies.

1. Create a new environment using: conda create --name myenv python=3.10.
2. Activate the environment you have just created: conda activate myenv.
3. Make the install.sh file executable by running the following command chmod +x install.sh.
4. Finally, run the following command to install the required packages inside the conda environment:

sh install.sh

Prediction

To run the inference code for a pre-trained model on a set of sequences, first you have to have download the pre-trained models and put them under the result/models directory (refer to pre-trained models section). Then, run the following command:

python predict.py --input_file <your_protein_seq.fa> --output_dir <specify_folder>

After running the inference code, you can find the results as a json file in the output_dir directory

Pretrained Models

In the following table, you can find the pre-trained models that we have used in the paper. You can download them from the following links and put them under the results/models directory

Model Name	Description	Download Link
MuTarget	[ensemble of 5 submodels]	[https://mailmissouri-my.sharepoint.com/:f:/g/personal/yjm85_umsystem_edu/EtxcOvEV07JFrTSA14AWf8oB3TTxNLRsa5-t18iyggIOaw?e=mv5r7t]

📜 Citation

If you use this code or the pretrained models, please cite the following paper:

[this part will be updated]

@article {,
	author = {},
	title = {},
	year = {},
	doi = {},
	journal = {}
}