ELASPIC home << Job #oncokb << O60674.S1025C
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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.S1025C

Detailed results for job #oncokb produced by ELASPIC
O60674, Tyrosine-protein kinase JAK2:
S1025C
1
1132
Pkinase_Tyr
Pkinase_Tyr
MST1R, Macrophage-stimulating protein receptor:
1
1400
Pkinase_Tyr
TIG
TIG
Select affected interaction:

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Model: Wild-type | Mutant | Both
Protein: O60674 | MST1R | Cofactors | All
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O60674.S1025C

Completed successfully

Protein, domain: O60674 Pkinase_Tyr

Interacting with: MST1R Pkinase_Tyr

PDB templates used: 4e4n_B, 4e4n_A

Seq identity: 0.556, 0.332 Model score: -0.427

ELASPIC ΔΔG: 1.045

ELASPIC2 (EL2) score: -1.656

Mutation run by user.

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Citation

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