ELASPIC home << Job #oncokb << Q9Y243.E17K
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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.

Q9Y243.E17K

Detailed results for job #oncokb produced by ELASPIC
Q9Y243, RAC-gamma serine/threonine-protein kinase:
E17K
1
479
PH
Pkinase+Pkinase_C
AKT3, RAC-gamma serine/threonine-protein kinase:
1
479
PH
Pkinase+Pkinase_C
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Model: Wild-type | Mutant | Both
Protein: Q9Y243 | AKT3 | Cofactors | All
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Q9Y243.E17K

Completed successfully

Protein, domain: Q9Y243 PH

Interacting with: AKT3 PH

PDB templates used: 2x18_G, 2x18_D

Seq identity: 1.000, 1.000 Model score: -0.706

ELASPIC ΔΔG: 0.122

ELASPIC2 (EL2) score: 0.788

Mutation in databases: UniProt, COSMIC, COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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