https://github.com/codewithrajdeep/medicare_management-platform
Empowering researchers, educators, and contributors in the field of drug discovery through molecular visualization, real-time collaboration, and data-driven insights.
https://github.com/codewithrajdeep/medicare_management-platform
drug-discovery healthcare research-and-development
Last synced: 28 days ago
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Empowering researchers, educators, and contributors in the field of drug discovery through molecular visualization, real-time collaboration, and data-driven insights.
- Host: GitHub
- URL: https://github.com/codewithrajdeep/medicare_management-platform
- Owner: CodewithRajDeep
- Created: 2024-12-31T02:17:34.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-07-18T04:38:03.000Z (12 months ago)
- Last Synced: 2025-07-18T08:14:25.924Z (12 months ago)
- Topics: drug-discovery, healthcare, research-and-development
- Language: TypeScript
- Homepage: https://medi-care-management-platform.vercel.app
- Size: 1.56 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
### π§ͺ MediCare - A Collaborative Drug Discovery Platform :

### β οΈ Purpose:
Empowering researchers, educators, and contributors in the field of drug discovery through molecular visualization, real-time collaboration, and data-driven insights.
### π Table of Contents:
1. [π¬ About MediCare](#description)
2. [π Features](#features)
3. [πΈ Screenshots](#screenshots)
4. [π Tech Stack](#techstack)
5. [π¦ Installation](#install)
6. [π§ Usage](#usage)
7. [π€ Contributing](#contribution)
8. [π License](#license)
9. [π¬ Contact](#contact)
## π¬ About MediCare:
MediCare is an open-source platform designed to facilitate drug discovery and molecular research. It provides a Molecule Bank where researchers can visualize compounds using SMILE technology, a Records Section storing essential chemical data, and a real-time communication space for researchers to collaborate.
Mainly for:
β
Researchers in pharmaceuticals & drug discovery
β
Educators teaching chemical sciences
β
Contributors interested in computational chemistry
β
Open-source enthusiasts in healthcare & chemistry
## π Features:
- π§ͺ Molecule Bank β Visualize chemical compounds using SMILE technology.
- π Comprehensive Compound Records β Access compound name, weight, structure, and chemical properties.
- π¬ Live Chat & Group Meetings β Collaborate with other researchers in real time.
- π Advanced Search β Find molecules by name, weight, or structure.
- π Open Contribution β Researchers can add, edit, and validate molecular data.
## Dashboard:

## π§ͺ Molecule Bank:

## π Comprehensive Compound Records:

## π¬ Live Chat & Group Meetings:

Follow these steps to set up the project locally on your machine.
### *π§ Prerequisites:*
Make sure you have the following installed on your machine:
- [Git](https://git-scm.com/)
- [Node.js](https://nodejs.org/en)
- [npm](https://www.npmjs.com/) (Node Package Manager)
### β¬ Clone Repository:
```bash
git clone https://github.com/your-username/MediCare.git
cd MediCare
```
### π Install Dependencies:
Install the project dependencies using npm:
```bash
npm install
```
### **Set Up Environment Variables**
Create a new file named `.env` in the root of your project and add the following content:
```env
NEXT_PUBLIC_NVIDIA_API_KEY=your-nvidia-api-key
ABLY_API_KEY='your-ably-api-key'
MONGODB_URL='your-mongodb-url'
NEXT_PUBLIC_API_BASE_URL= http://localhost:3000
RESEND_KEY= 'your-resend-api-key'
NEXT_NVIDIA_URL=your-nvidia-model-url
```
### π Start the Application:
```bash
npm run dev
Open [http://localhost:3000](http://localhost:3000) in your browser to view the project.
```
## π§ Usage:
1οΈβ£ Browse & Search for molecules using SMILE-based visualization.
2οΈβ£ Access Chemical Records β Get compound properties like weight, structure, and name.
3οΈβ£ Collaborate in Real-time β Join live chat rooms & meetings with other researchers.
4οΈβ£ Contribute New Compounds β Add and validate new molecular data.
## π€ Contributing:
π¬ Contributions are highly encouraged! If you're a researcher, educator, or developer, feel free to improve MediCare.
```
Fork the repository.
Create a new branch (git checkout -b feature-name).
Commit your changes (git commit -m "Added new feature").
Push to your branch (git push origin feature-name).
Open a Pull Request.
```
## π Contribution Guidelines:
## πReporting Issues:
Search for existing issues: Before creating a new issue, search the issue tracker to see if the problem has already been reported. Provide clear and concise information: When creating a new issue, please include as much detail as possible, such as: Clear description of the problem Steps to reproduce the issue Expected behavior Actual behavior Screenshots or logs (if applicable) Use issue templates: If available, use the provided issue templates to structure your report.
## πSubmitting Pull Requests:
Fork the repository: Create a fork of the project on your GitHub account. Create a new branch: Create a new branch based on the main branch or a feature branch. Make changes: Implement your changes and commit them with clear commit messages. Push changes to your fork: Push your changes to your forked repository. Open a Pull Request: Create a pull request from your branch to the main repository. Provide details: Clearly describe the changes you've made and the benefits they bring. Address code review feedback: Be open to feedback and make necessary changes.
## πTesting:
Write unit tests for any new features or bug fixes. Ensure existing tests pass after your changes.
## π License:
MediCare is licensed under the MIT License β open for research and educational purposes.
## 𧬠Molecule Data Processing
This section covers the medicare data processing pipeline, including loading protein structure file (e.g., PDB format), performing molecular docking simulations, and visualizing the result.
## π Molecule Structure Input
Users can upload PDB files for molecules structures, which will then be processed by NVIDIA NeMo's molecule-folding model.
##π Docking Simulation
Using molecular docking algorithms, the system predicts how small molecules (such as drug candidates) bind to molecules target.
π Let's revolutionize drug discovery together! ππ
π GitHub: CodeWithRajDeep
π Website: https://deepraj-portfolio-red.vercel.app