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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.V319D

Detailed results for job #oncokb produced by ELASPIC

Q15796, Mothers against decapentaplegic homolog 2:
V319D
1
467
SMAD2, Mothers against decapentaplegic homolog 2:
1
467
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Model: Wild-type | Mutant | Both
Protein: Q15796 | SMAD2 | Cofactors | All
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Q15796.V319D

Completed successfully

Protein, domain: Q15796 MH2

Interacting with: SMAD2 MH2

PDB templates used: 1u7v_A, 1u7v_C

Seq identity: 1.000, 1.000 Model score: -1.095

ELASPIC ΔΔG: 2.686

ELASPIC2 (EL2) score: 2.143

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation


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