https://docs.ai.gwdg.de/en/categories/protein-ai/index.htmlHugoenhttps://docs.ai.gwdg.de/en/user/ai-services/protein-ai/faq/index.htmlMon, 01 Jan 0001 00:00:00 +0000https://docs.ai.gwdg.de/en/user/ai-services/protein-ai/faq/index.htmlData Privacy Are my protein sequences or usage data used for AI training or similar purposes? No, your protein sequences and prediction data are not used to train any AI models. Are my sequences and predicted structures stored on your servers at any stage? User protein sequences and predicted structures are stored temporarily (for 30 days) on the GWDG server. During this period, only the respective user has access to their data. At no point do we access it on our servers without user permission.https://docs.ai.gwdg.de/en/user/ai-services/index.htmlMon, 01 Jan 0001 00:00:00 +0000https://docs.ai.gwdg.de/en/user/ai-services/index.htmlThe AI services offered by GWDG provide a versatile platform for practical AI applications. Our portfolio ranges from a chatbot with advanced capabilities (e.g. retrieval augmented generation, tool integration, MCP) to speech transcription and image processing. All services can be conveniently used via a web interface or seamlessly integrated into existing systems via an OpenAI-compatible API. Developed as part of the KISSKI project (AI Service Centre for Sensitive and Critical Infrastructures), the services meet high data protection requirements and are therefore particularly suitable for sensitive application scenarios.https://docs.ai.gwdg.de/en/user/ai-services/protein-ai/index.htmlMon, 01 Jan 0001 00:00:00 +0000https://docs.ai.gwdg.de/en/user/ai-services/protein-ai/index.htmlExperience 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 Users need to: