ELASPIC home << Job #oncokb << P50148.Q209L
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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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P50148.Q209L

Detailed results for job #oncokb produced by ELASPIC
P50148, Guanine nucleotide-binding protein G(q) subunit alpha:
Q209L
1
359
G-alpha
RGS13, Regulator of G-protein signaling 13:
1
159
RGS
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Model: Wild-type | Mutant | Both
Protein: P50148 | RGS13 | Cofactors | All
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P50148.Q209L

Completed successfully

Protein, domain: P50148 G-alpha

Interacting with: RGS13 RGS

PDB templates used: 4ekd_A, 4ekd_B

Seq identity: 0.978, 0.500 Model score: -1.165

ELASPIC ΔΔG: 0.233

ELASPIC2 (EL2) score: 2.059

Mutation in databases: UniProt, COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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