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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.

P41212.R418G

Detailed results for job #oncokb produced by ELASPIC

P41212, Transcription factor ETV6:
R418G
1
452
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P41212.R418G

Completed successfully

Protein, domain: P41212 Ets

Type: Core (stability)

PDB template used: 2dao_A

Seq identity: 1.000 Model score: -1.232

ELASPIC ΔΔG: 1.551

ELASPIC2 (EL2) score: 2.104

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation


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