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.
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Q9UM73.D1349H

Detailed results for job #oncokb produced by ELASPIC
Q9UM73, ALK tyrosine kinase receptor:
D1349H
1
1620
Pkinase_Tyr
ERRFI1, ERBB receptor feedback inhibitor 1:
1
462
GTPase_..
In..
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Model: Wild-type | Mutant | Both
Protein: Q9UM73 | ERRFI1 | Cofactors | All
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Q9UM73.D1349H

Completed successfully

Protein, domain: Q9UM73 Pkinase_Tyr

Interacting with: ERRFI1 Inhibitor_Mig-6

PDB templates used: 4i21_A, 4i21_C

Seq identity: 0.338, 1.000 Model score: -0.045

ELASPIC ΔΔG: 1.829

ELASPIC2 (EL2) score: 0.956

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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