ELASPIC home << Job #oncokb << Q06187.R544S
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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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Q06187.R544S

Detailed results for job #oncokb produced by ELASPIC
Q06187, Tyrosine-protein kinase BTK:
R544S
1
659
PH+BTK
Pkinase_Tyr
SH3_1
SH2
Q5JY90, Bruton agammaglobulinemia tyrosine kinase, isoform CRA_b:
1
483
PH+BTK
Pkinase_Tyr
SH3_1
SH2
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Protein: Q06187 | Q5JY90 | Cofactors | All
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Q06187.R544S

Completed successfully

Protein, domain: Q06187 Pkinase_Tyr

Interacting with: Q5JY90 Pkinase_Tyr

PDB templates used: 3p08_A, 3p08_B

Seq identity: 0.951, 0.956 Model score: -0.430

ELASPIC ΔΔG:

ELASPIC2 (EL2) score: 1.573

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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