ELASPIC home << Job #oncokb << Q9UM73.G1286R
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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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Q9UM73.G1286R

Detailed results for job #oncokb produced by ELASPIC
Q9UM73, ALK tyrosine kinase receptor:
G1286R
1
1620
Pkinase_Tyr
CDK13, Cyclin-dependent kinase 13:
1
1512
Pkinase
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Model: Wild-type | Mutant | Both
Protein: Q9UM73 | CDK13 | Cofactors | All
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Q9UM73.G1286R

Completed successfully

Protein, domain: Q9UM73 Pkinase_Tyr

Interacting with: CDK13 Pkinase

PDB templates used: 3lvp_B, 3lvp_C

Seq identity: 0.464, 0.243 Model score: 1.044

ELASPIC ΔΔG: 0.899

ELASPIC2 (EL2) score: 1.653

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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