ELASPIC home << Job #oncokb << P11802.R24C
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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.
For more information see the ELASPIC2 (EL2) publication.

P11802.R24C

Detailed results for job #oncokb produced by ELASPIC
P11802, Cyclin-dependent kinase 4:
R24C
1
303
Pkinase
K7PPU3, Cyclin-dependent kinase inhibitor 2B:
1
138
Ank_2
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Model: Wild-type | Mutant | Both
Protein: P11802 | K7PPU3 | Cofactors | All
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P11802.R24C

Completed successfully

Protein, domain: P11802 Pkinase

Interacting with: K7PPU3 Ank_2

PDB templates used: 1bi7_A, 1bi7_B

Seq identity: 0.664, 0.869 Model score: 0.174

ELASPIC ΔΔG: 2.868

ELASPIC2 (EL2) score: 1.709

Mutation in databases: UniProt, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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