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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.Q61K

Detailed results for job #oncokb produced by ELASPIC

P01112, GTPase HRas:
Q61K
1
189
SOS2, Son of sevenless homolog 2:
1
1332
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Model: Wild-type | Mutant | Both
Protein: P01112 | SOS2 | Cofactors | All
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P01112.Q61K

Completed successfully

Protein, domain: P01112 Ras

Interacting with: SOS2 RhoGEF

PDB templates used: 2dfk_D, 2dfk_C

Seq identity: 0.333, 0.213 Model score: -0.366

ELASPIC ΔΔG: 0.562

ELASPIC2 (EL2) score: 2.749

Mutation in databases: UniProt, COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation


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