ELASPIC home << Job #oncokb << P00533.S768I
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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.S768I

Detailed results for job #oncokb produced by ELASPIC
P00533, Epidermal growth factor receptor:
S768I
1
1210
Recep_L_d..
Recep_..
Furin..
Pkinase_Tyr
FER, Tyrosine-protein kinase Fer:
1
822
SH2
Pkinase_Tyr
FCH
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Protein: P00533 | FER | Cofactors | All
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P00533.S768I

Completed successfully

Protein, domain: P00533 Pkinase_Tyr

Interacting with: FER Pkinase_Tyr

PDB templates used: 3ika_A, 3ika_B

Seq identity: 0.949, 0.368 Model score: 0.034

ELASPIC ΔΔG: 4.024

ELASPIC2 (EL2) score: 1.087

Mutation in databases: UniProt, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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