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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.

Q14145.R470C

Detailed results for job #oncokb produced by ELASPIC

Q14145, Kelch-like ECH-associated protein 1:
R470C
1
624

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Q14145.R470C

Completed successfully

Protein, domain: Q14145 Kelch_1

Type: Core (stability)

PDB template used: 4ifn_X

Seq identity: 1.000 Model score: -1.461

ELASPIC ΔΔG: -0.118

ELASPIC2 (EL2) score: 1.146

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation


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