ELASPIC home << Job #oncokb << P61586.E40W
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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.
For more information see the ELASPIC2 (EL2) publication.

P61586.E40W

Detailed results for job #oncokb produced by ELASPIC
P61586, Transforming protein RhoA:
E40W
1
193
Ras
NET1, Neuroepithelial cell-transforming gene 1 protein:
1
596
RhoGEF
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Protein: P61586 | NET1 | Cofactors | All
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P61586.E40W

Completed successfully

Protein, domain: P61586 Ras

Interacting with: NET1 RhoGEF

PDB templates used: 2dfk_B, 2dfk_A

Seq identity: 0.545, 0.272 Model score: -1.064

ELASPIC ΔΔG: 1.582

ELASPIC2 (EL2) score: 2.620

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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