ELASPIC home << Job #oncokb << Q02750.S218D
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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.
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Q02750.S218D

Detailed results for job #oncokb produced by ELASPIC
Q02750, Dual specificity mitogen-activated protein kinase kinase 1:
S218D
1
393
Pkinase
JAK3, Tyrosine-protein kinase JAK3:
1
1124
Pkinase_Tyr
Pkinase_Tyr
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Protein: Q02750 | JAK3 | Cofactors | All
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Q02750.S218D

Completed successfully

Protein, domain: Q02750 Pkinase

Interacting with: JAK3 Pkinase_Tyr

PDB templates used: 3enm_A, 3enm_C

Seq identity: 0.375, 0.227 Model score: 0.461

ELASPIC ΔΔG: 0.471

ELASPIC2 (EL2) score: 2.260

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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