ELASPIC home << Job #oncokb << Q9UM73.D1349H
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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.
For more information see the ELASPIC2 (EL2) publication.

Q9UM73.D1349H

Detailed results for job #oncokb produced by ELASPIC
Q9UM73, ALK tyrosine kinase receptor:
D1349H
1
1620
Pkinase_Tyr
MK01 isoform 2, Isoform 2 of Mitogen-activated protein kinase 1:
1
316
Pkinase
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Q9UM73.D1349H

Completed successfully

Protein, domain: Q9UM73 Pkinase_Tyr

Interacting with: MK01 isoform 2 Pkinase

PDB templates used: 2fys_A, 2fys_B

Seq identity: 0.247, 0.837 Model score: 0.452

ELASPIC ΔΔG: 1.750

ELASPIC2 (EL2) score: 1.042

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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