upcoming

Protein structure prediction

Experience cutting-edge protein structure prediction with our AI-powered service. Utilizing High-Performance Computing (HPC) and AlphaFold2/Boltz models, 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 Protein AI

  • Speed: Uses MMseqs2 for rapid MSA generation
  • Accuracy: Accurate structure prediction for single protein sequences
  • User-Friendly: Simple web-based interface

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. Further information on using our Protein-AI service and the link to the web interface can be found here.

Protein AI

open tool

teaching AI research

Further information

Here you will find the privacy policy with information on data transfer during use.

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