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Deep Learning-Based Prediction of Potential Drug Candidates for Alzheimer’s Disease Among Philippine Natural Products

This repository contains the source code, training and testing data, trained models, and supplementary materials for Mnemosyne.

Mnemosyne

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Setup and Dependencies

Dependencies:

  • Python 3.10+
  • NumPy
  • Pandas
  • PyTorch
  • RDKit

To install dependencies:

pip install -r requirements.txt

Datasets

The datasets are provided in the /data directory and include:

  • natural_products.csv - Organism source, Name, Ligand SMILES
  • training_data.csv - Cleaned compound-protein interaction data.
  • testing_data.csv - Dataset for evaluating model performance.

Authors

Gielome Martinez

Anne Kelsea Palo

Karylle Cate Tuazon

About

Mnemosyne is a multimodal, deep learning-based model designed for predicting potential drug candidates for Alzheimer's disease.

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