ELASPIC home << Job #oncokb << P23458.A634D
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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.
For more information see the ELASPIC publication.
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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.
For more information see the ELASPIC2 (EL2) publication.

P23458.A634D

Detailed results for job #oncokb produced by ELASPIC
P23458, Tyrosine-protein kinase JAK1:
A634D
1
1154
Pkinase_Tyr
Pkinase_Tyr
TEC, Tyrosine-protein kinase Tec:
1
631
SH3_1
PH+BTK
SH2
Pkinase_Tyr
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Protein: P23458 | TEC | Cofactors | All
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P23458.A634D

Completed successfully

Protein, domain: P23458 Pkinase_Tyr

Interacting with: TEC Pkinase_Tyr

PDB templates used: 4l00_A, 4l00_B

Seq identity: 0.964, 0.259 Model score: 0.045

ELASPIC ΔΔG: 1.904

ELASPIC2 (EL2) score: 1.296

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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