SB-Contacts-Classification

This repository contains the project for the Structural Bioinformatics course of the Master's Degree in Computer Science at the University of Padua (UniPD). The project is focused on the classification of protein contacts using various computational techniques.

Table of Contents

• Introduction
• Repository Structure
• Usage
• Authors

Introduction

The SB-Contacts-Classification project aims to classify contacts within protein structures. This project leverages machine learning algorithms and bioinformatics tools to accurately identify and categorize protein contacts, which are crucial for understanding protein functions and interactions.

Repository Structure

The repository is organized into the following directories:

• Predictor: Contains the source code and scripts used for protein contact classification.
• FromDataToPrediction.ipynb: Contains the test and training loops.
  • Follow the comments in the notebook for guidance.
  • Note that to load the already computed SMOTE, you need to have the files X_bal.npy and y_bal.npy in the same directory as the notebook.
• Report: Contains the detailed report of the project, including methodologies, results, and discussions.

Usage

To use the software, follow these steps:

1. Clone the repository:

   git clone https://github.com/yourusername/SB-Contacts-Classification.git
   cd SB-Contacts-Classification

2. Navigate to the Predictor directory:

   cd Predictor

3. Follow the folder readme.md

Authors

This project is developed by the following authors:

• Andrea Auletta (2107158): [email protected]
• Marco Bernardi (2107781): [email protected]
• Niccolò Zenaro (2125609): [email protected]