Gemini 2.5 Pro Built Biology Simulation Web App! (DNA → RNA → Protein Synthesis) with PDF Reports

Gemini 2.5 Pro Built Biology Simulation Web App! (DNA → RNA → Protein Synthesis) with PDF Reports

How to use Google's Gemini 2.5 Pro Experimental AI to build a powerful and educational DNA → RNA → Protein simulator from scratch without having any knowledge on Biology or Coding

    A web application DNA → RNA → Protein Synthesis Simulator that could do:

1. Accept DNA sequences or even natural language biology problems containing DNA.

2. Simulate Transcription (DNA to mRNA).

3. Simulate Translation (mRNA to Amino Acid sequence/Protein).

4. Visualize the process, highlighting codons.

5. Generate Python and JavaScript code snippets that replicate the simulation – perfect for learning!

6. And the kicker: output a downloadable *PDF report* with all the steps, visuals, explanations, and even a codon table.

Target Audience : Perfect for biology students, educators, and developers looking to combine science, code, and AI.

What you’ll learn in this video:

  1. How to create prompt for Gemini 2.5 Pro to create a full-stack web application with AI Agent that uses LangChain for API based connection to Gemini2.5 Model

  2. Simulating the central dogma of molecular biology

  3. Converting natural language to DNA using AI agents

  4. Visualizing transcription and translation processes

  5. Generating Python & JavaScript code snippets

  6. Creating detailed PDF reports with mRNA visuals, codon tables & more!

Demo 1: Basic DNA Input        : First, let's try a straightforward DNA sequence. I'll paste in ATGGCCACCTAGGCACTGA.   Since this is pure DNA, I don't need the API key. Click 'Simulate'...

Demo 2: Natural Language Input : Requires API Key to utilize AI Agent to extract & clea DNA code from request then follow the same process as Demo1

Demo 3: PDF Report Explanation : Finally, the PDF report with download option to get professionally formatted report containing

1. The original input (text or DNA). 

2. The cleaned DNA, mRNA, and Protein sequences.

3. A flowchart of the process.

4. The highlighted mRNA visualization inside the PDF.

5. The step-by-step translation table.

6. The full standard genetic code table for reference.

7. The generated Python and JavaScript code.

8. And a helpful educational description of transcription and translation.

This is fantastic for students or anyone wanting a persistent record of the simulation.

https://www.youtube.com/watch?v=RVZ4KuZcZQE