ELASPIC home << Job #oncokb << P36507.S222D
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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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P36507.S222D

Detailed results for job #oncokb produced by ELASPIC
P36507, Dual specificity mitogen-activated protein kinase kinase 2:
S222D
1
400
Pkinase
Q96II5, ARAF protein:
1
609
RBD
C1_1
Pkinase_Tyr
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Model: Wild-type | Mutant | Both
Protein: P36507 | Q96II5 | Cofactors | All
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P36507.S222D

Completed successfully

Protein, domain: P36507 Pkinase

Interacting with: Q96II5 Pkinase_Tyr

PDB templates used: 2y4i_C, 2y4i_B

Seq identity: 0.791, 0.366 Model score: 0.124

ELASPIC ΔΔG: 0.732

ELASPIC2 (EL2) score: 2.518

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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