🧬 Biological Database Search Engine (Student-Focused)

📌 Project Description

Biological Database Search Engine is a Python-based bioinformatics project designed especially for BSc / MSc Biotechnology and Bioinformatics students.

This tool allows a user to input a human gene name and automatically fetches relevant gene and protein information from trusted biological databases. The fetched data is then presented in a simple, student-friendly format.

The main goal of this project is to help students understand:

• How biological databases work
• How gene and protein data are connected
• How to use APIs in bioinformatics using Python

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🎯 What Problem Does This Project Solve?

Most biological databases like NCBI and UniProt provide highly technical data which is difficult for beginners to understand.

This project:

• Simplifies complex biological information
• Presents data in an easy-to-read format
• Helps students learn bioinformatics practically

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⚙️ How This Project Works (Step-by-Step)

1. User enters a human gene name (example: TP53)
2. The program searches the gene in NCBI Gene database
3. Gene-related information is fetched:
   • Gene symbol
   • Chromosome location
   • Organism name
4. The same gene name is searched in UniProt
5. Protein-related information is fetched:
   • Protein name
   • Protein length
   • Function
6. The program generates a student-friendly explanation explaining the gene and protein in simple language

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🧪 Example Use Case

Input:

Output Includes:

• Gene Symbol: TP53
• Chromosome: 17
• Organism: Homo sapiens
• Protein Name: Cellular tumor antigen p53
• Protein Function: Prevents uncontrolled cell growth
• Simple explanation for students

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🛠 Tools & Technologies Used

• Python
• Biopython
• Requests
• NCBI Entrez API
• UniProt REST API
• Git & GitHub

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🗂 Project Structure

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▶️ How to Run This Project

1️⃣ Install required libraries

pip install -r requirements.txt


python src/main_pipeline.py

Enter human gene name: TP53