ELASPIC home << Job #oncokb << O60674.F1061W
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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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O60674.F1061W

Detailed results for job #oncokb produced by ELASPIC
O60674, Tyrosine-protein kinase JAK2:
F1061W
1
1132
Pkinase_Tyr
Pkinase_Tyr
ERBB3, Receptor tyrosine-protein kinase erbB-3:
1
1342
Pkinase_Tyr
Recep_..
Furin-l..
Recep_L_..
GF_re..
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Model: Wild-type | Mutant | Both
Protein: O60674 | ERBB3 | Cofactors | All
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O60674.F1061W

Completed successfully

Protein, domain: O60674 Pkinase_Tyr

Interacting with: ERBB3 Pkinase_Tyr

PDB templates used: 3kex_B, 3kex_A

Seq identity: 0.320, 0.983 Model score: -0.277

ELASPIC ΔΔG: 0.354

ELASPIC2 (EL2) score: 0.085

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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