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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.
For more information see the ELASPIC publication.
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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.

Q969H0.R479L

Detailed results for job #oncokb produced by ELASPIC

Q969H0, F-box/WD repeat-containing protein 7:
R479L
1
707
GNB2L1, Guanine nucleotide-binding protein subunit beta-2-like 1:
1
317
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Model: Wild-type | Mutant | Both
Protein: Q969H0 | GNB2L1 | Cofactors | All
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Q969H0.R479L

Completed successfully

Protein, domain: Q969H0 WD40

Interacting with: GNB2L1 WD40

PDB templates used: 4aow_B, 4aow_C

Seq identity: 0.286, 0.978 Model score: -0.235

ELASPIC ΔΔG: 2.058

ELASPIC2 (EL2) score: 1.472

Mutation in databases: COSMIC, COSMIC, COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation


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