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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.

P42771.D84N

Detailed results for job #oncokb produced by ELASPIC

P42771, Cyclin-dependent kinase inhibitor 2A, isoforms 1/2/3:
D84N
1
156
PRKCA, Protein kinase C alpha type:
1
672
Select affected interaction:

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Model: Wild-type | Mutant | Both
Protein: P42771 | PRKCA | Cofactors | All
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P42771.D84N

Completed successfully

Protein, domain: P42771 Ank

Interacting with: PRKCA Pkinase+Pkinase_C

PDB templates used: 1bi7_B, 1bi7_A

Seq identity: 0.992, 0.265 Model score: 1.262

ELASPIC ΔΔG: 0.272

ELASPIC2 (EL2) score: 0.135

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

Download:  PDBwt   | PDBmut

Citation


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