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Lipinski's Rule of 5

Welcome to Lipinski's Rule of 5 project! This project is a web application built using JavaScript, HTML, and CSS to predict whether a chemical compound is likely to be orally bioavailable based on Lipinski's Rule of 5.

Overview

Lipinski's Rule of 5 is a widely used rule in the field of medicinal chemistry to evaluate the drug-likeness of chemical compounds based on their physicochemical properties. This project provides a user-friendly interface for inputting chemical compound information and determining if it adheres to Lipinski's Rule of 5.

Features

  • Simple and intuitive user interface for inputting compound data
  • Calculation of compound properties according to Lipinski's Rule of 5
  • Clear indication of whether the compound meets Lipinski's criteria
  • Responsive design for compatibility across devices and screen sizes

Getting Started

To get started with Lipinski's Rule of 5 project, follow these steps:

Clone the Repository

git clone https://github.com/vishnuthumpudi/lipinskis_rule_of_5.git

Running the Project

  1. Open the HTML File: Open the index.html file in your web browser to launch the application.

  2. Input Compound Data: Enter the relevant data for the chemical compound, such as molecular weight, number of hydrogen bond donors and acceptors, and partition coefficient (logP).

  3. Evaluate Lipinski's Rule: The application will calculate the compound's properties and determine if it meets Lipinski's Rule of 5 criteria.

Contributing

Contributions to Lipinski's Rule of 5 project are welcome! Feel free to submit bug reports, feature requests, or pull requests to improve the functionality and usability of the application.

License

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

Acknowledgments

Special thanks to Lipinski and contributors for their research and work in defining Lipinski's Rule of 5, which has become a fundamental principle in drug discovery and development.

Thank you for exploring Lipinski's Rule of 5 project! We hope you find it helpful for evaluating the drug-likeness of chemical compounds.