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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.

P63000.Q61R

Detailed results for job #oncokb produced by ELASPIC

P63000, Ras-related C3 botulinum toxin substrate 1:
Q61R
1
192
PLEKHG2, Pleckstrin homology domain-containing family G member 2:
1
1386
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Protein: P63000 | PLEKHG2 | Cofactors | All
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P63000.Q61R

Completed successfully

Protein, domain: P63000 Ras

Interacting with: PLEKHG2 RhoGEF

PDB templates used: 2vrw_A, 2vrw_B

Seq identity: 1.000, 0.296 Model score: -1.174

ELASPIC ΔΔG: -0.247

ELASPIC2 (EL2) score: 3.186

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation


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