Protein-AI
This service will be available soon.
Experience cutting-edge protein structure prediction with our AI-powered service. Utilizing High-Performance Computing (HPC) and AlphaFold2 model, our platform offers swift, accurate, and reliable automatic structure predictions for diverse proteins. Enhanced with MMseqs2, the service rivals traditional methods. Accessible for free via the KISSKI platform, it caters to various prediction tasks, making advanced protein structure prediction available to all researchers and scientists.
Key Features of ColabFold
- Speed: Uses MMseqs2 for rapid MSA generation
- Accuracy Accurate structure prediction for single protein sequences
- User-Friendly: Simple web-based interface
Users need to:
- Input the protein sequence in FASTA format.
- The predicted structure will be displayed in the result box and available for download.
This service will transform structural biology research, making protein structure prediction more accessible and efficient for researchers across various fields.
Ensuring Privacy and Flexibility
Security is essential when dealing with potentially sensitive biological data, as it provides reliability, demonstrates compliance during audits or regulatory inspections, and ensures research integrity. User privacy is a cornerstone of this service. We record only the number of requests per user and associated timestamps, thereby ensuring that all protein sequences and predicted structures remain private.
Web interface and usage
If you have an AcademicCloud account, the Protein AI web interface can be easily accessed here.
From the web interface, there are built-in actions that need to be filled for the service to be functional. These include:
Single Protein Structure Prediction:
- Input sequence: Paste your protein sequence in FASTA format.
- Run submit: Click to start the prediction process.
- Download results: Download the output files.
- Show results: View the predicted structure.
- Light/Dark mode (sun/moon button): Toggle between light and dark mode.
- Footer: Includes “Privacy Policy”, “Terms of use”, “FAQ”, Contact, and the option to switch between English and German.