ELASPIC home << Job #oncokb << P31749.L362R
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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.

P31749.L362R

Detailed results for job #oncokb produced by ELASPIC
P31749, RAC-alpha serine/threonine-protein kinase:
L362R
1
480
PH
Pkinase+Pkinase_C
RPS6KB1, Ribosomal protein S6 kinase beta-1:
1
525
Pkinase+Pkinase_C
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Model: Wild-type | Mutant | Both
Protein: P31749 | RPS6KB1 | Cofactors | All
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P31749.L362R

Completed successfully

Protein, domain: P31749 Pkinase+Pkinase_C

Interacting with: RPS6KB1 Pkinase+Pkinase_C

PDB templates used: 3a60_B, 3a60_A

Seq identity: 0.445, 0.916 Model score: 0.160

ELASPIC ΔΔG: 0.948

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.