ELASPIC home << Job #oncokb << O60674.V1075F
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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.V1075F

Detailed results for job #oncokb produced by ELASPIC
O60674, Tyrosine-protein kinase JAK2:
V1075F
1
1132
Pkinase_Tyr
Pkinase_Tyr
ERBB2, Receptor tyrosine-protein kinase erbB-2:
1
1255
Recep_L_..
Pkinase_Tyr
Furin-like
GF_rec..
Recep_L_..
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Protein: O60674 | ERBB2 | Cofactors | All
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O60674.V1075F

Completed successfully

Protein, domain: O60674 Pkinase_Tyr

Interacting with: ERBB2 Pkinase_Tyr

PDB templates used: 3pp0_B, 3pp0_A

Seq identity: 0.331, 0.986 Model score: -0.818

ELASPIC ΔΔG: 1.420

ELASPIC2 (EL2) score: -0.034

Mutation run by user.

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Citation

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