ELASPIC home << Job #oncokb << P03372.E380Q
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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.E380Q

Detailed results for job #oncokb produced by ELASPIC
P03372, Estrogen receptor:
E380Q
1
595
zf-C4+Hormone_recep
ESRRA, Steroid hormone receptor ERR1:
1
423
zf-C4+Hormone_recep
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Model: Wild-type | Mutant | Both
Protein: P03372 | ESRRA | Cofactors | All
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P03372.E380Q

Completed successfully

Protein, domain: P03372 zf-C4+Hormone_recep

Interacting with: ESRRA zf-C4+Hormone_recep

PDB templates used: 3q95_B, 3q95_A

Seq identity: 0.988, 0.343 Model score: 0.182

ELASPIC ΔΔG: 1.273

ELASPIC2 (EL2) score: 0.285

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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