ELASPIC home << Job #oncokb << Q06124.E76A
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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.E76A

Detailed results for job #oncokb produced by ELASPIC
Q06124, Tyrosine-protein phosphatase non-receptor type 11:
E76A
1
597
SH2
SH2
Y_phosphatase
SRC, Proto-oncogene tyrosine-protein kinase Src:
1
536
SH3_1
SH2
Pkinase_Tyr
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Protein: Q06124 | SRC | Cofactors | All
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Q06124.E76A

Completed successfully

Protein, domain: Q06124 SH2

Interacting with: SRC SH2

PDB templates used: 3in7_C, 3in7_A

Seq identity: 0.395, 0.388 Model score: -0.096

ELASPIC ΔΔG: 2.052

ELASPIC2 (EL2) score: 0.999

Mutation in database: UniProt.

Download:  PDBwt   | PDBmut

Citation

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