ELASPIC home << Job #oncokb << P01112.G12C
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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.

P01112.G12C

Detailed results for job #oncokb produced by ELASPIC
P01112, GTPase HRas:
G12C
1
189
Ras
RGL4, Ral-GDS-related protein:
1
473
RasGEF
Select affected interaction:

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Model: Wild-type | Mutant | Both
Protein: P01112 | RGL4 | Cofactors | All
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P01112.G12C

Completed successfully

Protein, domain: P01112 Ras

Interacting with: RGL4 RasGEF

PDB templates used: 4nyi_R, 4nyi_S

Seq identity: 1.000, 0.247 Model score: -0.598

ELASPIC ΔΔG: 1.454

ELASPIC2 (EL2) score: 2.194

Mutation in databases: UniProt, COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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