ELASPIC home << Job #oncokb << Q9UKV8.R647A
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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.
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Q9UKV8.R647A

Detailed results for job #oncokb produced by ELASPIC
Q9UKV8, Protein argonaute-2:
R647A
1
859
DUF1785
PAZ
Piwi

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Q9UKV8.R647A

Completed successfully

Protein, domain: Q9UKV8 Piwi

Type: Core (stability)

PDB template used: 4w5t_A

Seq identity: 1.000 Model score: -1.014

ELASPIC ΔΔG: -0.806

ELASPIC2 (EL2) score: 0.504

Mutation run by user.

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Citation

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