ELASPIC home << Job #oncokb << Q9UM73.A1200V
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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.A1200V

Detailed results for job #oncokb produced by ELASPIC
Q9UM73, ALK tyrosine kinase receptor:
A1200V
1
1620
Pkinase_Tyr
ILK, Integrin-linked protein kinase:
1
452
Ank
Pkinase_Tyr
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Protein: Q9UM73 | ILK | Cofactors | All
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Q9UM73.A1200V

Completed successfully

Protein, domain: Q9UM73 Pkinase_Tyr

Interacting with: ILK Ank

PDB templates used: 1blx_A, 1blx_B

Seq identity: 0.257, 0.323 Model score: 0.311

ELASPIC ΔΔG: 0.801

ELASPIC2 (EL2) score: 0.596

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation

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