Efficient and scalable protein design using a relaxed sequence space
Frank, C.J., Dietz, H.(2024) Science 
Experimental Data Snapshot
Starting Model: in silico
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wwPDB Validation   3D Report Full Report
(2024) Science 
Entity ID: 1 | |||||
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Molecule | Chains | Sequence Length | Organism | Details | Image |
DE NOVO PROTEIN P600 | 609 | synthetic construct | Mutation(s): 0  | ||
Entity Groups   | |||||
Sequence Clusters | 30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity | ||||
Sequence AnnotationsExpand | |||||
|
Length ( Å ) | Angle ( ˚ ) |
---|---|
a = 163.249 | α = 90 |
b = 67.825 | β = 103.2 |
c = 173.693 | γ = 90 |
Software Name | Purpose |
---|---|
PHENIX | refinement |
XDS | data reduction |
XDS | data scaling |
MOLREP | phasing |
Funding Organization | Location | Grant Number |
---|---|---|
European Research Council (ERC) | European Union | GA101018465 |
Germanys Excellence Strategy | Germany | TUM Innovation Network Projekt RISE |