ELASPIC home << Job #oncokb << Q06124.Q79R
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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.Q79R

Detailed results for job #oncokb produced by ELASPIC
Q06124, Tyrosine-protein phosphatase non-receptor type 11:
Q79R
1
597
SH2
SH2
Y_phosphatase
PRKCA, Protein kinase C alpha type:
1
672
C2
C1_1
Pkinase+Pkinase_C
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Protein: Q06124 | PRKCA | Cofactors | All
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Q06124.Q79R

Completed successfully

Protein, domain: Q06124 SH2

Interacting with: PRKCA C2

PDB templates used: 3m7f_A, 3m7f_B

Seq identity: 0.326, 0.375 Model score: -0.334

ELASPIC ΔΔG: 1.211

ELASPIC2 (EL2) score: -0.587

Mutation in database: UniProt.

Download:  PDBwt   | PDBmut

Citation

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