| title: PeptideAI | |
| emoji: 🔬 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: streamlit | |
| sdk_version: "1.41.1" | |
| python_version: "3.13" | |
| app_file: StreamlitApp/StreamlitApp.py | |
| pinned: false | |
| short_description: AMP peptide scoring, composition, wheel & 3D views. | |
| # PeptideAI | |
| **Live app:** [huggingface.co/spaces/m0ksh/PeptideAI](https://huggingface.co/spaces/m0ksh/PeptideAI) | |
| PeptideAI is a Streamlit app for working with short peptide sequences. It estimates whether a sequence might behave like an antimicrobial peptide (AMP) using a small neural network, and adds views for composition, rough physicochemical numbers, optional mutation search, and helix-style visualization. | |
| ## What you can do | |
| - Get an AMP vs non-AMP prediction with a confidence-style score | |
| - See amino acid composition and simple properties (length, charge, hydrophobic fraction, mass) | |
| - Run a greedy “optimize” pass that tries mutations the model likes more | |
| - Visualize a helix-like trace and helical wheel (approximation, not a solved structure) | |
| - Run t-SNE on embeddings when you have several sequences | |
| ## Run it on your machine | |
| ```bash | |
| pip install -r requirements.txt | |
| streamlit run StreamlitApp/StreamlitApp.py | |
| ``` |