ELASPIC home << Job #oncokb << P61586.G17V
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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.
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P61586.G17V

Detailed results for job #oncokb produced by ELASPIC
P61586, Transforming protein RhoA:
G17V
1
193
Ras
LRRK2, Leucine-rich repeat serine/threonine-protein kinase 2:
1
2527
LRR
Miro
Pkinase
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Model: Wild-type | Mutant | Both
Protein: P61586 | LRRK2 | Cofactors | All
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P61586.G17V

Completed successfully

Protein, domain: P61586 Ras

Interacting with: LRRK2 Miro

PDB templates used: 2zej_B, 2zej_A

Seq identity: 0.252, 0.886 Model score: -0.815

ELASPIC ΔΔG: 0.110

ELASPIC2 (EL2) score: 2.356

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation

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