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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.

P03372.L469V

Detailed results for job #oncokb produced by ELASPIC

P03372, Estrogen receptor:
L469V
1
595
Androgen_receptor, Androgen receptor:
1
919
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P03372.L469V

Completed successfully

Protein, domain: P03372 zf-C4+Hormone_recep

Interacting with: Androgen_receptor zf-C4+Hormone_recep

PDB templates used: 3q95_B, 3q95_A

Seq identity: 0.988, 0.259 Model score: 1.012

ELASPIC ΔΔG: -0.339

ELASPIC2 (EL2) score: -1.357

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation


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