ELASPIC home << Job #oncokb << P36507.Q60P
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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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P36507.Q60P

Detailed results for job #oncokb produced by ELASPIC
P36507, Dual specificity mitogen-activated protein kinase kinase 2:
Q60P
1
400
Pkinase
EGFR, Epidermal growth factor receptor:
1
1210
Recep_L_d..
Recep_..
Furin..
Pkinase_Tyr
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Protein: P36507 | EGFR | Cofactors | All
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P36507.Q60P

Completed successfully

Protein, domain: P36507 Pkinase

Interacting with: EGFR Pkinase_Tyr

PDB templates used: 4i24_A, 4i24_B

Seq identity: 0.277, 0.962 Model score: -0.132

ELASPIC ΔΔG: 0.569

ELASPIC2 (EL2) score: -0.191

Mutation in databases: COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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