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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.
For more information see the ELASPIC publication.
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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.

P45985.G85R

Detailed results for job #oncokb produced by ELASPIC

P45985, Dual specificity mitogen-activated protein kinase kinase 4:
G85R
1
399
MAP3K2, Mitogen-activated protein kinase kinase kinase 2:
1
619
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Protein: P45985 | MAP3K2 | Cofactors | All
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P45985.G85R

Completed successfully

Protein, domain: P45985 Pkinase

Interacting with: MAP3K2 Pkinase

PDB templates used: 3aln_A, 3aln_B

Seq identity: 0.879, 0.262 Model score: 0.732

ELASPIC ΔΔG: 2.564

ELASPIC2 (EL2) score: 1.098

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation


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