ELASPIC home << Job #oncokb << P45985.G85R
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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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P45985.G85R

Detailed results for job #oncokb produced by ELASPIC
P45985, Dual specificity mitogen-activated protein kinase kinase 4:
G85R
1
399
Pkinase
MAP3K11, Mitogen-activated protein kinase kinase kinase 11:
1
847
Pkinase_Tyr
SH3_9
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Model: Wild-type | Mutant | Both
Protein: P45985 | MAP3K11 | Cofactors | All
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P45985.G85R

Completed successfully

Protein, domain: P45985 Pkinase

Interacting with: MAP3K11 Pkinase_Tyr

PDB templates used: 3aln_A, 3aln_B

Seq identity: 0.879, 0.213 Model score: 0.896

ELASPIC ΔΔG: 0.761

ELASPIC2 (EL2) score: 0.615

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation

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