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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.
For more information see the ELASPIC publication.
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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.M1328I

Detailed results for job #oncokb produced by ELASPIC

Q9UM73, ALK tyrosine kinase receptor:
M1328I
1
1620
PRKAA1, 5'-AMP-activated protein kinase catalytic subunit alpha-1:
1
559
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Protein: Q9UM73 | PRKAA1 | Cofactors | All
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Q9UM73.M1328I

Completed successfully

Protein, domain: Q9UM73 Pkinase_Tyr

Interacting with: PRKAA1 Pkinase

PDB templates used: 3h4j_A, 3h4j_B

Seq identity: 0.213, 0.590 Model score: 0.236

ELASPIC ΔΔG: 0.032

ELASPIC2 (EL2) score: 1.335

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation


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