ELASPIC home << Job #oncokb << P00533.P848L
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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.

P00533.P848L

Detailed results for job #oncokb produced by ELASPIC
P00533, Epidermal growth factor receptor:
P848L
1
1210
Recep_L_d..
Recep_..
Furin..
Pkinase_Tyr
MAP2K4, Dual specificity mitogen-activated protein kinase kinase 4:
1
399
Pkinase
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Model: Wild-type | Mutant | Both
Protein: P00533 | MAP2K4 | Cofactors | All
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P00533.P848L

Completed successfully

Protein, domain: P00533 Pkinase_Tyr

Interacting with: MAP2K4 Pkinase

PDB templates used: 4i24_B, 4i24_A

Seq identity: 0.962, 0.265 Model score: -0.168

ELASPIC ΔΔG: 3.646

ELASPIC2 (EL2) score: 1.588

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation

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