ELASPIC home << Job #oncokb << P23458.Y1035C
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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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P23458.Y1035C

Detailed results for job #oncokb produced by ELASPIC
P23458, Tyrosine-protein kinase JAK1:
Y1035C
1
1154
Pkinase_Tyr
Pkinase_Tyr
FER, Tyrosine-protein kinase Fer:
1
822
SH2
Pkinase_Tyr
FCH
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Model: Wild-type | Mutant | Both
Protein: P23458 | FER | Cofactors | All
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P23458.Y1035C

Completed successfully

Protein, domain: P23458 Pkinase_Tyr

Interacting with: FER Pkinase_Tyr

PDB templates used: 4fk6_A, 4fk6_B

Seq identity: 0.976, 0.337 Model score: -0.682

ELASPIC ΔΔG: 0.329

ELASPIC2 (EL2) score: 1.407

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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