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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.

Q13485.D493H

Detailed results for job #oncokb produced by ELASPIC

Q13485, Mothers against decapentaplegic homolog 4:
D493H
1
552
SMAD6 isoform 2, Isoform B of Mothers against decapentaplegic homolog 6:
1
235
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Q13485.D493H

Completed successfully

Protein, domain: Q13485 MH2

Interacting with: SMAD6 isoform 2 MH2

PDB templates used: 1dd1_B, 1dd1_A

Seq identity: 0.929, 0.362 Model score: -0.149

ELASPIC ΔΔG: 0.782

ELASPIC2 (EL2) score: 1.335

Mutation in databases: UniProt, COSMIC.

Download:  PDBwt   | PDBmut

Citation


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