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.
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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.
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P31749.L362R

Detailed results for job #oncokb produced by ELASPIC
P31749, RAC-alpha serine/threonine-protein kinase:
L362R
1
480
PH
Pkinase+Pkinase_C
MAPKAPK2, MAP kinase-activated protein kinase 2:
1
400
Pkinase
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Model: Wild-type | Mutant | Both
Protein: P31749 | MAPKAPK2 | Cofactors | All
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P31749.L362R

Completed successfully

Protein, domain: P31749 Pkinase+Pkinase_C

Interacting with: MAPKAPK2 Pkinase

PDB templates used: 2pzy_D, 2pzy_A

Seq identity: 0.332, 0.951 Model score: 0.612

ELASPIC ΔΔG: 1.536

ELASPIC2 (EL2) score: 2.008

Mutation run by user.

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Citation

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