UCP Project

Introduction

Welcome to this Physiology and Bioinformatics project focusing on the study of Uncoupling Protein (UCP) proteins and their interactions with flavonoids. This project aims to explore the physiological implications of UCP proteins and investigate potential interactions with flavonoid compounds.

Project Overview

Background

Uncoupling proteins (UCPs) play a crucial role in cellular energy regulation by uncoupling the respiratory chain, influencing energy expenditure, and maintaining cellular homeostasis. This project delves into understanding the physiological functions of UCP proteins, with a particular emphasis on their interactions with flavonoids.

Key Features

• Bioinformatics Analysis: Utilizes bioinformatics tools and techniques to analyze and interpret data related to UCP proteins and flavonoids.

• Conda Environment: The project employs Conda for managing the software environment, ensuring reproducibility and ease of collaboration.

Getting Started

Follow these steps to get started with the project:

Prerequisites

1. Install Conda on your machine.

Setting up the Environment

1. Clone the repository:

   git clone https://github.com/Freston1605/ucp_project.git
   cd ucp_project

2. Create and activate the Conda environment using the spec-file.txt file in the working directory:

conda create --preffix .env/ --file spec-file
conda activate environment

Running the Analysis

The full analysis is yet to be completed as of now. Plase check the scripts folder to see how the analysis is being made.

Project Structure

• data/: Contains datasets and input files.
• scripts/: Includes Python scripts for data analysis and processing.
• notebooks/: Includes Jupyter Notebooks for data analysis.
• results/: Stores the output and results of the analysis.

Note

This project is under development and it will be updated as it moves forwards.