ELASPIC home << Job #oncokb << Q06124.A72V
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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.

Q06124.A72V

Detailed results for job #oncokb produced by ELASPIC
Q06124, Tyrosine-protein phosphatase non-receptor type 11:
A72V
1
597
SH2
SH2
Y_phosphatase
PIK3R2, Phosphatidylinositol 3-kinase regulatory subunit beta:
1
728
RhoGAP
SH2
SH2
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Model: Wild-type | Mutant | Both
Protein: Q06124 | PIK3R2 | Cofactors | All
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Q06124.A72V

Completed successfully

Protein, domain: Q06124 SH2

Interacting with: PIK3R2 SH2

PDB templates used: 3in7_C, 3in7_A

Seq identity: 0.395, 0.427 Model score: -0.115

ELASPIC ΔΔG: 0.121

ELASPIC2 (EL2) score: 0.298

Mutation in database: UniProt.

Download:  PDBwt   | PDBmut

Citation

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