ELASPIC home << Job #oncokb << P01116.Y32S
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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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P01116.Y32S

Detailed results for job #oncokb produced by ELASPIC
P01116, GTPase KRas:
Y32S
1
189
Ras
Q6PCE1, RALGDS protein:
1
902
RasGEF_N+RasGEF
RA
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Protein: P01116 | Q6PCE1 | Cofactors | All
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P01116.Y32S

Completed successfully

Protein, domain: P01116 Ras

Interacting with: Q6PCE1 RasGEF_N+RasGEF

PDB templates used: 4nyi_R, 4nyi_S

Seq identity: 0.940, 0.255 Model score: 0.110

ELASPIC ΔΔG: 0.789

ELASPIC2 (EL2) score: 2.495

Mutation run by user.

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Citation

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