ELASPIC home << Job #oncokb << P31749.Q59E
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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.Q59E

Detailed results for job #oncokb produced by ELASPIC
P31749, RAC-alpha serine/threonine-protein kinase:
Q59E
1
480
PH
Pkinase+Pkinase_C
GAB2, GRB2-associated-binding protein 2:
1
676
PH
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Model: Wild-type | Mutant | Both
Protein: P31749 | GAB2 | Cofactors | All
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P31749.Q59E

Completed successfully

Protein, domain: P31749 PH

Interacting with: GAB2 PH

PDB templates used: 1zm0_A, 1zm0_B

Seq identity: 0.304, 0.300 Model score: -0.065

ELASPIC ΔΔG: 0.853

ELASPIC2 (EL2) score: -0.837

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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