ELASPIC home << Job #oncokb << P31751.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.
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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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P31751.E17K

Detailed results for job #oncokb produced by ELASPIC
P31751, RAC-beta serine/threonine-protein kinase:
E17K
1
481
PH
Pkinase+Pkinase_C
AKT2, RAC-beta serine/threonine-protein kinase:
1
481
PH
Pkinase+Pkinase_C
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Protein: P31751 | AKT2 | Cofactors | All
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P31751.E17K

Completed successfully

Protein, domain: P31751 PH

Interacting with: AKT2 PH

PDB templates used: 2x18_E, 2x18_A

Seq identity: 0.764, 0.771 Model score: -1.108

ELASPIC ΔΔG: 1.019

ELASPIC2 (EL2) score: 1.634

Mutation in databases: UniProt, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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