ELASPIC home << Job #oncokb << P00533.R836C
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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.R836C

Detailed results for job #oncokb produced by ELASPIC
P00533, Epidermal growth factor receptor:
R836C
1
1210
Recep_L_domain
Recep_L_do..
Furin-like
..
Pkinase_Tyr

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P00533.R836C

Completed successfully

Protein, domain: P00533 Pkinase_Tyr

Type: Core (stability)

PDB template used: 4li5_A

Seq identity: 1.000 Model score: -0.544

ELASPIC ΔΔG: 2.455

ELASPIC2 (EL2) score: 2.720

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation

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