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
HRAS, GTPase HRas:
1
189
Ras
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Q02750.A106T

Completed successfully

Protein, domain: Q02750 Pkinase

Interacting with: HRAS Ras

PDB templates used: 2v55_C, 2v55_D

Seq identity: 0.324, 0.266 Model score: 0.669

ELASPIC ΔΔG: 1.054

ELASPIC2 (EL2) score: 0.458

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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