ELASPIC home << Job #oncokb << Q9UM73.M1328I
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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.M1328I

Detailed results for job #oncokb produced by ELASPIC
Q9UM73, ALK tyrosine kinase receptor:
M1328I
1
1620
Pkinase_Tyr
ALK, ALK tyrosine kinase receptor:
1
1620
Pkinase_Tyr
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Protein: Q9UM73 | ALK | Cofactors | All
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Q9UM73.M1328I

Completed successfully

Protein, domain: Q9UM73 Pkinase_Tyr

Interacting with: ALK Pkinase_Tyr

PDB templates used: 3lvp_C, 3lvp_B

Seq identity: 0.461, 0.464 Model score: 0.009

ELASPIC ΔΔG: 0.572

ELASPIC2 (EL2) score: 1.343

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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