ELASPIC home << Job #oncokb << P16234.Q579R
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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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P16234.Q579R

Detailed results for job #oncokb produced by ELASPIC
P16234, Platelet-derived growth factor receptor alpha:
Q579R
1
1089
Pkinase_Tyr
Ig_2
I-set
JAK1, Tyrosine-protein kinase JAK1:
1
1154
Pkinase_Tyr
Pkinase_Tyr
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Model: Wild-type | Mutant | Both
Protein: P16234 | JAK1 | Cofactors | All
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P16234.Q579R

Completed successfully

Protein, domain: P16234 Pkinase_Tyr

Interacting with: JAK1 Pkinase_Tyr

PDB templates used: 4l00_A, 4l00_B

Seq identity: 0.270, 0.971 Model score: 1.236

ELASPIC ΔΔG: 1.070

ELASPIC2 (EL2) score: 0.451

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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