ELASPIC home << Job #oncokb << P01112.G12S
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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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P01112.G12S

Detailed results for job #oncokb produced by ELASPIC
P01112, GTPase HRas:
G12S
1
189
Ras
Q6PCE1, RALGDS protein:
1
902
RasGEF_N+RasGEF
RA
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Model: Wild-type | Mutant | Both
Protein: P01112 | Q6PCE1 | Cofactors | All
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P01112.G12S

Completed successfully

Protein, domain: P01112 Ras

Interacting with: Q6PCE1 RasGEF_N+RasGEF

PDB templates used: 4nyi_R, 4nyi_S

Seq identity: 1.000, 0.255 Model score: 0.115

ELASPIC ΔΔG: 0.130

ELASPIC2 (EL2) score: 1.691

Mutation in databases: UniProt, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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