ELASPIC home << Job #oncokb << Q06124.I282V
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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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Q06124.I282V

Detailed results for job #oncokb produced by ELASPIC
Q06124, Tyrosine-protein phosphatase non-receptor type 11:
I282V
1
597
SH2
SH2
Y_phosphatase
PTPN11, Tyrosine-protein phosphatase non-receptor type 11:
1
597
SH2
SH2
Y_phosphatase
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Model: Wild-type | Mutant | Both
Protein: Q06124 | PTPN11 | Cofactors | All
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Q06124.I282V

Completed successfully

Protein, domain: Q06124 Y_phosphatase

Interacting with: PTPN11 Y_phosphatase

PDB templates used: 2h4v_A, 2h4v_B

Seq identity: 0.410, 0.411 Model score: -0.105

ELASPIC ΔΔG: -0.255

ELASPIC2 (EL2) score: 0.036

Mutation in database: UniProt.

Download:  PDBwt   | PDBmut

Citation

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