PROTEONEXT lab
Visual demo to understand the platform
A Flask and Bootstrap layer on top of the current Python examples to explain AMR data, federation, models, and confidential computing.
Educational use
The data is synthetic and the models are didactic. They are not valid for clinical decisions or real biological selection.
Simulated nodes
3
Synthetic rows
6899
Raw rows shared
0
Modular path
Each page uses the existing READMEs and scripts to explain one project block.
1
Context
2
Synthetic data
3
Federated analytics
4
Federated learning
5
AMP scoring
6
Confidential computing
7
Scientific problem and AI
8
Active learning
9
AMR data model
10
Node agent
11
Azure/Fabric/Purview architecture
12
Partner one-pager
13
Azure Web App readiness
14
Reality roadmap
15
MLOps Pipeline
Syntax and Microsoft layer
Identity, security, governance, Fabric, Purview, MLOps, observability, and Azure architecture for a federated platform.
Scientific layer
Microbiology, isolates, MIC/MBC, toxicity, antimicrobial peptides, and experimental validation by specialized partners.