ELASPIC home << Job #oncokb << Q02750.S222D
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ELASPIC ΔΔG
The final Gibbs free energy change (ΔΔG) in kcal/mol is predicted using more than 70 sequential, molecular and energetic features with the Stochastic Gradient Boosting of Decision Trees algorithm.
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ELASPIC2 (EL2) score
The ELASPIC2 (EL2) score is obtained using features generated by pretrained ProteinSolver and ProtBert neural networks with the Stochastic Gradient Boosting of Decision Trees algorithm and a ranking objective function.
For more information see the ELASPIC2 (EL2) publication.

Q02750.S222D

Detailed results for job #oncokb produced by ELASPIC
Q02750, Dual specificity mitogen-activated protein kinase kinase 1:
S222D
1
393
Pkinase
VRK2, Serine/threonine-protein kinase VRK2:
1
508
Pkinase
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Protein: Q02750 | VRK2 | Cofactors | All
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Q02750.S222D

Completed successfully

Protein, domain: Q02750 Pkinase

Interacting with: VRK2 Pkinase

PDB templates used: 3op5_D, 3op5_C

Seq identity: 0.214, 0.553 Model score: 0.488

ELASPIC ΔΔG: 1.153

ELASPIC2 (EL2) score: 1.923

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

If you use these results, please cite the papers on this page.