ELASPIC home << Job #oncokb << P61586.R5Q
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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.R5Q

Detailed results for job #oncokb produced by ELASPIC
P61586, Transforming protein RhoA:
R5Q
1
193
Ras
ARHGEF4, Rho guanine nucleotide exchange factor 4:
1
690
PH
SH3_9+RhoGEF
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Model: Wild-type | Mutant | Both
Protein: P61586 | ARHGEF4 | Cofactors | All
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P61586.R5Q

Completed successfully

Protein, domain: P61586 Ras

Interacting with: ARHGEF4 SH3_9+RhoGEF

PDB templates used: 2dfk_D, 2dfk_C

Seq identity: 0.548, 0.718 Model score: 0.028

ELASPIC ΔΔG: 2.648

ELASPIC2 (EL2) score: 2.259

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation

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