Drug-Target Interaction Database for Neurological Disorders

The Drug-Target Interaction (DTI) Database for Neurological Disorders is a full-stack bioinformatics web application designed to store, manage, and visualize drug-target interaction data associated with various neurological diseases. The primary objective of this project is to provide researchers, students, and healthcare professionals with a centralized platform for exploring relationships between neurological disorders, therapeutic drugs, target proteins, and associated genes.

The application was developed using HTML, CSS, and JavaScript for the frontend, Node.js with Express.js for the backend, and MySQL (Amazon RDS) as the cloud-hosted relational database. The system enables efficient storage and retrieval of large biological datasets while providing a responsive and user-friendly interface.

The database contains comprehensive information on neurological disorders, approved and investigational drugs, target proteins, associated genes, binding affinity values, interaction scores, mechanisms of action, therapeutic indications, and relevant biological annotations. Users can search the database using disease names, drug names, target proteins, or genes and instantly retrieve detailed interaction information.

A key feature of the application is its interactive drug-target network visualization, which graphically represents the relationships between drugs and their molecular targets. This visualization helps users better understand complex biological interactions and supports exploratory research in drug discovery and precision medicine.

The backend provides RESTful APIs for secure communication between the frontend and the database. CRUD operations (Create, Read, Update, Delete) enable efficient data management, while optimized SQL queries ensure fast search performance and reliable retrieval of records. Amazon RDS provides scalable, secure, and highly available cloud-based database hosting.

Throughout the development process, emphasis was placed on data integrity, efficient database schema design, normalized relational tables, and responsive web design. The project also demonstrates practical implementation of cloud databases, backend development, database connectivity, and bioinformatics data management.

Key Features

• Centralized repository for neurological disorder drug-target interaction data
• Advanced search by disease, drug, target protein, or gene
• Interactive visualization of drug-target relationships
• Secure RESTful API integration
• Cloud-hosted MySQL database using Amazon RDS
• Responsive and user-friendly web interface
• Efficient CRUD operations for data management
• Optimized database queries for faster information retrieval
• Scalable architecture suitable for future expansion
• Bioinformatics-focused platform supporting drug discovery and research

Technologies Used

• HTML5
• CSS3
• JavaScript
• Node.js
• Express.js
• MySQL
• Amazon RDS
• REST API
• Git & GitHub

This project demonstrates the integration of web development, cloud computing, database management, and bioinformatics to create a scalable platform for neurological drug-target interaction analysis. It serves as a valuable resource for academic research, educational purposes, and future extensions involving AI-based drug discovery, molecular docking integration, and predictive analytics.