ELASPIC home << Job #oncokb << P15056.R509H
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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.

P15056.R509H

Detailed results for job #oncokb produced by ELASPIC
P15056, Serine/threonine-protein kinase B-raf:
R509H
1
766
RBD
C1_1
Pkinase_Tyr
RPS6KB2, Ribosomal protein S6 kinase beta-2:
1
482
Pkinase+Pkinase_C
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Protein: P15056 | RPS6KB2 | Cofactors | All
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P15056.R509H

Completed successfully

Protein, domain: P15056 Pkinase_Tyr

Interacting with: RPS6KB2 Pkinase+Pkinase_C

PDB templates used: 3skc_B, 3skc_A

Seq identity: 1.000, 0.278 Model score: 0.249

ELASPIC ΔΔG: 3.038

ELASPIC2 (EL2) score: 2.149

Mutation run by user.

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Citation

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