ELASPIC home << Job #oncokb << Q06124.E76K
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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.E76K

Detailed results for job #oncokb produced by ELASPIC
Q06124, Tyrosine-protein phosphatase non-receptor type 11:
E76K
1
597
SH2
SH2
Y_phosphatase
PRKCB, Protein kinase C beta type:
1
671
C1_1
Pkinase+Pkinase_C
C1_1
C2
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Protein: Q06124 | PRKCB | Cofactors | All
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Q06124.E76K

Completed successfully

Protein, domain: Q06124 SH2

Interacting with: PRKCB C2

PDB templates used: 3m7f_A, 3m7f_B

Seq identity: 0.326, 0.380 Model score: -0.445

ELASPIC ΔΔG: 1.187

ELASPIC2 (EL2) score: 1.282

Mutation in database: UniProt.

Download:  PDBwt   | PDBmut

Citation

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