ELASPIC home << Job #oncokb << Q06187.Y551F
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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.
For more information see the ELASPIC2 (EL2) publication.

Q06187.Y551F

Detailed results for job #oncokb produced by ELASPIC
Q06187, Tyrosine-protein kinase BTK:
Y551F
1
659
PH+BTK
Pkinase_Tyr
SH3_1
SH2
RPS6KB2, Ribosomal protein S6 kinase beta-2:
1
482
Pkinase+Pkinase_C
Select affected interaction:

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Model: Wild-type | Mutant | Both
Protein: Q06187 | RPS6KB2 | Cofactors | All
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Q06187.Y551F

Completed successfully

Protein, domain: Q06187 Pkinase_Tyr

Interacting with: RPS6KB2 Pkinase+Pkinase_C

PDB templates used: 3p08_A, 3p08_B

Seq identity: 0.951, 0.233 Model score: 0.059

ELASPIC ΔΔG: 2.371

ELASPIC2 (EL2) score: 0.678

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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