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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.
For more information see the ELASPIC publication.
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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.

Q15796.D450E

Detailed results for job #oncokb produced by ELASPIC

Q15796, Mothers against decapentaplegic homolog 2:
D450E
1
467
SMAD3, Mothers against decapentaplegic homolog 3:
1
425
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Protein: Q15796 | SMAD3 | Cofactors | All
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Q15796.D450E

Completed successfully

Protein, domain: Q15796 MH2

Interacting with: SMAD3 MH2

PDB templates used: 1u7v_C, 1u7v_A

Seq identity: 1.000, 0.970 Model score: -1.066

ELASPIC ΔΔG: 1.757

ELASPIC2 (EL2) score: 1.027

Mutation in database: UniProt.

Download:  PDBwt   | PDBmut

Citation


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