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S1
Protein Engineering
From sequence to mutant, 7-step workflow
Four-model enzyme activity cross-validation. Single-model error 30-50%, only trusted when all four agree. Structure prediction -> catalytic activity -> stability screening -> sequence design -> immunogenicity assessment, full-process dry-computing loop.
2-4 weeks100K-800K/projectCapability Coverage 95%
Pipeline Flow
End-to-end dry-computing loop
1
Structure Prediction
ESMFold / Boltz-2 / Protenix multi-model prediction of mutant protein 3D structure
2
Catalytic Activity Scanning
DLKcat predicts enzyme activity changes, four-model cross-validation consensus
3
Stability Screening
FoldX ΔΔG thermal stability assessment, eliminates unstable mutants
4
Sequence Design
ProteinMPNN inverse folding generates optimized sequences
5
Immunogenicity Assessment
MHCflurry predicts MHC binding affinity
6
Multi-model Cross-validation
Only trusted when all four models agree
7
Synthesis-ready Delivery
Output DNA sequence + structure files + validation report
Core Tools
ESMFoldBoltz-2ProtenixProteinMPNNDLKcatFoldXMHCflurry
Core Advantages
Four-model Cross-validation
Enzyme activity trusted only when all four models agree, avoiding single-model errors
End-to-end Loop
From structure prediction to synthesis-ready, 7-step full process
Built-in Immunogenicity
Immunogenicity assessed at design stage
Capability Coverage
95%USER SCENE
How This Technology Serves Patients
B2B2C: Through hospitals/doctors, this pipeline reaches these end-user scenarios
Start Your Project Protein Engineering
Start with just 1 project, no team needed.