ELASPIC home << Job #oncokb << Q02750.A106T
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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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Q02750.A106T

Detailed results for job #oncokb produced by ELASPIC
Q02750, Dual specificity mitogen-activated protein kinase kinase 1:
A106T
1
393
Pkinase
GRB10, Growth factor receptor-bound protein 10:
1
594
BPS
RA+PH
SH2
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Protein: Q02750 | GRB10 | Cofactors | All
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Q02750.A106T

Completed successfully

Protein, domain: Q02750 Pkinase

Interacting with: GRB10 BPS

PDB templates used: 2auh_A, 2auh_B

Seq identity: 0.236, 0.784 Model score: 1.035

ELASPIC ΔΔG: 0.162

ELASPIC2 (EL2) score: 0.733

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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