ELASPIC home << Job #oncokb << P03372.L469V
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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
zf-C4+Hormone_recep
Q7LCB3, 5p152:
1
530
zf-C4+Hormone_recep
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Model: Wild-type | Mutant | Both
Protein: P03372 | Q7LCB3 | Cofactors | All
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P03372.L469V

Completed successfully

Protein, domain: P03372 zf-C4+Hormone_recep

Interacting with: Q7LCB3 zf-C4+Hormone_recep

PDB templates used: 3q95_B, 3q95_A

Seq identity: 0.988, 0.589 Model score: 0.920

ELASPIC ΔΔG: 1.739

ELASPIC2 (EL2) score: -1.888

Mutation run by user.

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Citation

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