Spaces:
Running
on
Zero
title: DNA CASINO
emoji: 🧬
colorFrom: green
colorTo: blue
sdk: gradio
sdk_version: 5.35.0
app_file: app.py
pinned: false
license: apache-2.0
short_description: DNA Diffusion
models:
- VIDraft/Gemma-3-R1984-27B
- VIDraft/Gemma-3-R1984-12B
- VIDraft/Gemma-3-R1984-4B
🎰 DNA CASINO: Hit the Genetic Jackpot! 🧬
🎲 When Biotech Meets Vegas = ?? Hey there! Today I'm thrilled to introduce something truly extraordinary. We've transformed DNA-Diffusion into a full-blown casino slot machine - welcome to DNA CASINO! 🎊
🎯 What's This All About?
🧬 Generate 200bp DNA Regulatory Sequences: AI-powered generation of cell-type specific synthetic biology sequences 🎰 Slot Machine UI: Watch each nucleotide (A,T,C,G) spin like real casino reels! 🔬 Real-time Protein Analysis: Instantly translate generated DNA to protein and get AI-powered structure/function analysis
💫 Key Features 1️⃣ Choose Your Cell Type (Like Casino Chips!) 🟢 K562 - Leukemia cell line 🔵 GM12878 - Lymphoblastoid cell line 🟡 HepG2 - Liver cancer cell line
2️⃣ Pull the Lever to Begin! Just like a real slot machine - pull the lever or hit SPIN and watch 200 nucleotides whirl in spectacular fashion! 🎪
3️⃣ AI-Powered Protein Analysis
DNA → Protein translation Structure/function prediction via vidraft/gemma-3-r1984-27b (ranked #2 in medical reliability on FACTS Grounding Leaderboard) Cell-type specific insights
🛠️ Tech Stack python🎨 Frontend: HTML/CSS/JS (Pure vanilla goodness!) 🧠 Backend: Gradio + DNA-Diffusion model 🤖 AI Analysis: vidraft/gemma-3-r1984-27b ⚡ GPU Acceleration: Hugging Face Spaces GPU
🎮 How to Play
Pick your cell-type chip 🎯 Pull the lever or hit SPIN! 🎰 Watch your DNA sequence generate ✨ Check out the protein analysis 🔬
🌟 What Makes It Special
Immersive casino theme: Neon lights, glowing effects, and that iconic 777 lever! Scientific accuracy: Real codon tables, precise protein translation Educational value: Learn DNA-protein relationships the fun way
🚀 Try It Now! VIDraft/DNA-CASINO
Baed LLM Model: VIDraft/Gemma-3-R1984-27B Powered by VIDraft
Based theory by 'pinello lab'
Citation
If you use this application in your research, please cite:
@article{dnadiffusion2024,
title={DNA-Diffusion: Leveraging Generative Models for Controlling Chromatin Accessibility and Gene Expression via Synthetic Regulatory Elements},
author={DaSilva, Lucas Ferreira and Senan, Simon and Patel, Zain Munir and others},
journal={bioRxiv},
year={2024},
doi={10.1101/2024.02.01.578352}
}