ELASPIC home << Job #oncokb << P01112.G12A
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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.G12A

Detailed results for job #oncokb produced by ELASPIC
P01112, GTPase HRas:
G12A
1
189
Ras
RGL1, Ral guanine nucleotide dissociation stimulator-like 1:
1
768
RA
RasGEF_N+RasGEF
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Protein: P01112 | RGL1 | Cofactors | All
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P01112.G12A

Completed successfully

Protein, domain: P01112 Ras

Interacting with: RGL1 RasGEF_N+RasGEF

PDB templates used: 4nyi_R, 4nyi_S

Seq identity: 1.000, 0.227 Model score: 0.693

ELASPIC ΔΔG: 1.445

ELASPIC2 (EL2) score: 1.878

Mutation in databases: UniProt, COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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