ELASPIC home << Job #oncokb << P63000.G12V
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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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P63000.G12V

Detailed results for job #oncokb produced by ELASPIC
P63000, Ras-related C3 botulinum toxin substrate 1:
G12V
1
192
Ras
ARHGAP33, Rho GTPase-activating protein 33:
1
1287
RhoGAP
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P63000.G12V

Completed successfully

Protein, domain: P63000 Ras

Interacting with: ARHGAP33 RhoGAP

PDB templates used: 2ngr_A, 2ngr_B

Seq identity: 0.703, 0.279 Model score: -1.033

ELASPIC ΔΔG: 1.023

ELASPIC2 (EL2) score: 2.644

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Citation

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