ELASPIC home << Job #oncokb << P31749.G311D
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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.

P31749.G311D

Detailed results for job #oncokb produced by ELASPIC
P31749, RAC-alpha serine/threonine-protein kinase:
G311D
1
480
PH
Pkinase+Pkinase_C
GSK3A, Glycogen synthase kinase-3 alpha:
1
483
Pkinase
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Model: Wild-type | Mutant | Both
Protein: P31749 | GSK3A | Cofactors | All
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P31749.G311D

Completed successfully

Protein, domain: P31749 Pkinase+Pkinase_C

Interacting with: GSK3A Pkinase

PDB templates used: 1i09_A, 1i09_B

Seq identity: 0.285, 0.877 Model score: 0.171

ELASPIC ΔΔG: 1.735

ELASPIC2 (EL2) score: 2.346

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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