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.
For more information see the ELASPIC2 (EL2) publication.

P01116.Y32S

Detailed results for job #oncokb produced by ELASPIC
P01116, GTPase KRas:
Y32S
1
189
Ras
RASGRF2, Ras-specific guanine nucleotide-releasing factor 2:
1
1237
PH
RasGEF_N+RasGEF
RhoGEF
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Model: Wild-type | Mutant | Both
Protein: P01116 | RASGRF2 | Cofactors | All
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P01116.Y32S

Completed successfully

Protein, domain: P01116 Ras

Interacting with: RASGRF2 RasGEF_N+RasGEF

PDB templates used: 4nyi_R, 4nyi_S

Seq identity: 0.940, 0.288 Model score: 1.083

ELASPIC ΔΔG: 1.589

ELASPIC2 (EL2) score: 2.342

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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