ELASPIC home << Job #oncokb << P36507.S226D
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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.S226D

Detailed results for job #oncokb produced by ELASPIC
P36507, Dual specificity mitogen-activated protein kinase kinase 2:
S226D
1
400
Pkinase
MOS_(gene), Proto-oncogene serine/threonine-protein kinase mos:
1
346
Pkinase
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Protein: P36507 | MOS_(gene) | Cofactors | All
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P36507.S226D

Completed successfully

Protein, domain: P36507 Pkinase

Interacting with: MOS_(gene) Pkinase

PDB templates used: 2y4i_C, 2y4i_B

Seq identity: 0.791, 0.236 Model score: 0.053

ELASPIC ΔΔG: 0.619

ELASPIC2 (EL2) score: 1.681

Mutation run by user.

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Citation

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