ELASPIC home << Job #oncokb << P31749.L202F
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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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P31749.L202F

Detailed results for job #oncokb produced by ELASPIC
P31749, RAC-alpha serine/threonine-protein kinase:
L202F
1
480
PH
Pkinase+Pkinase_C
MAP2K4, Dual specificity mitogen-activated protein kinase kinase 4:
1
399
Pkinase
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Model: Wild-type | Mutant | Both
Protein: P31749 | MAP2K4 | Cofactors | All
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P31749.L202F

Completed successfully

Protein, domain: P31749 Pkinase+Pkinase_C

Interacting with: MAP2K4 Pkinase

PDB templates used: 3aln_B, 3aln_A

Seq identity: 0.217, 0.879 Model score: 0.957

ELASPIC ΔΔG: 0.314

ELASPIC2 (EL2) score: 2.413

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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