ELASPIC home << Job #oncokb << P61586.E40L
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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.E40L

Detailed results for job #oncokb produced by ELASPIC
P61586, Transforming protein RhoA:
E40L
1
193
Ras
PLXNB1, Plexin-B1:
1
2135
Plexin_cytopl
TIG
TIG
Sema+PSI
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Protein: P61586 | PLXNB1 | Cofactors | All
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P61586.E40L

Completed successfully

Protein, domain: P61586 Ras

Interacting with: PLXNB1 Plexin_cytopl

PDB templates used: 3su8_A, 3su8_X

Seq identity: 0.594, 0.944 Model score: -1.006

ELASPIC ΔΔG: 4.509

ELASPIC2 (EL2) score: 2.711

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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