Atomic protein design using geometric deep learning
Liu, J.L., Guo, Z.To be published.
Experimental Data Snapshot
Starting Model: in silico
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wwPDB Validation   3D Report Full Report
Entity ID: 1 | |||||
|---|---|---|---|---|---|
| Molecule | Chains | Sequence Length | Organism | Details | Image |
| De novo designed 2OBI-3 | 176 | synthetic construct | Mutation(s): 0  | ![]() | |
Entity Groups   | |||||
| Sequence Clusters | 30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity | ||||
Sequence AnnotationsExpand | |||||
| |||||
| Length ( Å ) | Angle ( ˚ ) |
|---|---|
| a = 32.564 | α = 90 |
| b = 71.12 | β = 114.34 |
| c = 33.077 | γ = 90 |
| Software Name | Purpose |
|---|---|
| PHENIX | refinement |
| autoPROC | data reduction |
| Aimless | data scaling |
| PHASER | phasing |
| Funding Organization | Location | Grant Number |
|---|---|---|
| National Natural Science Foundation of China (NSFC) | China | -- |