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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.

P29992.Q209L

Detailed results for job #oncokb produced by ELASPIC

P29992, Guanine nucleotide-binding protein subunit alpha-11:
Q209L
1
359
RGS13, Regulator of G-protein signaling 13:
1
159
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Model: Wild-type | Mutant | Both
Protein: P29992 | RGS13 | Cofactors | All
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P29992.Q209L

Completed successfully

Protein, domain: P29992 G-alpha

Interacting with: RGS13 RGS

PDB templates used: 4ekd_A, 4ekd_B

Seq identity: 0.899, 0.500 Model score: -1.092

ELASPIC ΔΔG: 1.448

ELASPIC2 (EL2) score: 1.506

Mutation in databases: COSMIC, COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation


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