ELASPIC home << Job #oncokb << Q06124.D106A
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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.D106A

Detailed results for job #oncokb produced by ELASPIC
Q06124, Tyrosine-protein phosphatase non-receptor type 11:
D106A
1
597
SH2
SH2
Y_phosphatase
KPCB isoform 2, Isoform Beta-II of Protein kinase C beta type:
1
673
C1_1
C1_1
C2
Pkinase+Pkinase_C
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Q06124.D106A

Completed successfully

Protein, domain: Q06124 SH2

Interacting with: KPCB isoform 2 C2

PDB templates used: 3m7f_A, 3m7f_B

Seq identity: 0.409, 0.380 Model score: 0.117

ELASPIC ΔΔG: 2.373

ELASPIC2 (EL2) score: -0.267

Mutation in database: UniProt.

Download:  PDBwt   | PDBmut

Citation

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