ELASPIC home << Job #oncokb << P84022.R373Q
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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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P84022.R373Q

Detailed results for job #oncokb produced by ELASPIC
P84022, Mothers against decapentaplegic homolog 3:
R373Q
1
425
MH1
MH2
SMAD5, Mothers against decapentaplegic homolog 5:
1
465
MH1
MH2
Select affected interaction:

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Model: Wild-type | Mutant | Both
Protein: P84022 | SMAD5 | Cofactors | All
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P84022.R373Q

Completed successfully

Protein, domain: P84022 MH2

Interacting with: SMAD5 MH2

PDB templates used: 1u7f_C, 1u7f_A

Seq identity: 1.000, 0.788 Model score: -0.847

ELASPIC ΔΔG: 0.853

ELASPIC2 (EL2) score: 2.024

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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