ELASPIC home << Job #oncokb << Q02750.I103N
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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.
For more information see the ELASPIC2 (EL2) publication.

Q02750.I103N

Detailed results for job #oncokb produced by ELASPIC
Q02750, Dual specificity mitogen-activated protein kinase kinase 1:
I103N
1
393
Pkinase
MAPK3, Mitogen-activated protein kinase 3:
1
379
Pkinase
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Model: Wild-type | Mutant | Both
Protein: Q02750 | MAPK3 | Cofactors | All
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Q02750.I103N

Completed successfully

Protein, domain: Q02750 Pkinase

Interacting with: MAPK3 Pkinase

PDB templates used: 2fa2_B, 2fa2_A

Seq identity: 0.301, 0.507 Model score: 0.084

ELASPIC ΔΔG: 0.465

ELASPIC2 (EL2) score: -0.143

Mutation run by user.

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Citation

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