ELASPIC home << Job #oncokb << P31751.G161V
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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.

P31751.G161V

Detailed results for job #oncokb produced by ELASPIC
P31751, RAC-beta serine/threonine-protein kinase:
G161V
1
481
PH
Pkinase+Pkinase_C
ACTN2, Alpha-actinin-2:
1
894
Spectrin
EF-ha..
EFha..
CH
CH
Select affected interaction:

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Model: Wild-type | Mutant | Both
Protein: P31751 | ACTN2 | Cofactors | All
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P31751.G161V

Completed successfully

Protein, domain: P31751 Pkinase+Pkinase_C

Interacting with: ACTN2 EF-hand_8

PDB templates used: 2x0g_A, 2x0g_B

Seq identity: 0.312, 0.314 Model score: 0.816

ELASPIC ΔΔG: 1.996

ELASPIC2 (EL2) score: 1.928

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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