RNA 3D Folding 🧬

Welcome to the RNA 3D Folding project! This repository focuses on predicting RNA 3D structures using machine learning techniques. We leverage the latest advancements in bioinformatics and machine learning to contribute to the understanding of RNA folding.

Table of Contents

• Overview
• Features
• Getting Started
• Usage
• Contributing
• License
• Contact
• Releases

Overview

RNA molecules play a critical role in biological processes. Understanding their 3D structures can provide insights into their functions and interactions. This project aims to develop accurate models for RNA 3D structure prediction using machine learning algorithms, specifically inspired by AlphaFold.

Features

• State-of-the-Art Algorithms: Utilize advanced machine learning techniques for RNA structure prediction.
• Bioinformatics Integration: Combine data from various bioinformatics databases for enhanced model training.
• User-Friendly Interface: Simplified interface for ease of use and accessibility.
• Research Collaboration: Open for contributions and collaboration in the field of RNA research.

Getting Started

To get started with the RNA 3D Folding project, follow these steps:

1. Clone the Repository:

   git clone https://github.com/pram84/rna-3d-folding.git
   cd rna-3d-folding

2. Install Dependencies: Ensure you have the necessary packages installed. You can use pip to install them:

   pip install -r requirements.txt

3. Download Latest Release: You can find the latest release here. Download the appropriate files and execute them as needed.

Usage

Once you have set up the project, you can begin predicting RNA 3D structures. Here’s how to use the main functionalities:

Example Command

python predict_rna_structure.py --input <your_rna_sequence>

Input Format

Ensure your RNA sequence is in the correct format. For example:

AUGCAGUCGUACG

Output

The output will provide you with the predicted 3D structure in PDB format, which you can visualize using molecular visualization tools like PyMOL or Chimera.

Contributing

We welcome contributions from the community! If you want to help improve this project, please follow these steps:

1. Fork the Repository: Click the "Fork" button on the top right of the repository page.
2. Create a New Branch:

   git checkout -b feature/your-feature-name

3. Make Your Changes: Implement your changes or features.
4. Commit Your Changes:

   git commit -m "Add your message here"

5. Push to Your Branch:

   git push origin feature/your-feature-name

6. Create a Pull Request: Go to the original repository and create a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contact

For any inquiries or feedback, please reach out to the project maintainer:

• Name: Your Name
• Email: your.email@example.com

Releases

To stay updated with the latest changes, visit our Releases section. Download the necessary files and execute them to benefit from the latest features and improvements.

Acknowledgments

We would like to thank the following resources and contributors for their invaluable support:

• AlphaFold: For inspiring our algorithms.
• Bioinformatics Databases: For providing essential data.
• Community Contributors: For their contributions and support.

Conclusion

Thank you for your interest in the RNA 3D Folding project! We hope this repository helps advance the understanding of RNA structures and their functions. Together, we can make significant strides in bioinformatics and machine learning.

Explore the repository, contribute, and let’s push the boundaries of RNA research together!