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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.R24P

Detailed results for job #oncokb produced by ELASPIC

P42771, Cyclin-dependent kinase inhibitor 2A, isoforms 1/2/3:
R24P
1
156
MK10 isoform 3, Isoform 3 of Mitogen-activated protein kinase 10:
1
426
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P42771.R24P

Completed successfully

Protein, domain: P42771 Ank

Interacting with: MK10 isoform 3 Pkinase

PDB templates used: 1bi7_B, 1bi7_A

Seq identity: 0.992, 0.341 Model score: 0.693

ELASPIC ΔΔG: 1.359

ELASPIC2 (EL2) score: 1.306

Mutation in databases: UniProt, COSMIC.

Download:  PDBwt   | PDBmut

Citation


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