ELASPIC home << Job #oncokb << P00533.R776H
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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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P00533.R776H

Detailed results for job #oncokb produced by ELASPIC
P00533, Epidermal growth factor receptor:
R776H
1
1210
Recep_L_d..
Recep_..
Furin..
Pkinase_Tyr
MAP2K2, Dual specificity mitogen-activated protein kinase kinase 2:
1
400
Pkinase
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Protein: P00533 | MAP2K2 | Cofactors | All
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P00533.R776H

Completed successfully

Protein, domain: P00533 Pkinase_Tyr

Interacting with: MAP2K2 Pkinase

PDB templates used: 4i24_B, 4i24_A

Seq identity: 0.962, 0.277 Model score: -0.132

ELASPIC ΔΔG: 0.716

ELASPIC2 (EL2) score: 1.279

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation

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