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.
For more information see the ELASPIC2 (EL2) publication.

P61586.E40L

Detailed results for job #oncokb produced by ELASPIC
P61586, Transforming protein RhoA:
E40L
1
193
Ras
VAV1, Proto-oncogene vav:
1
845
CH
RhoGEF
PH
C1_1
SH2
SH3_1
SH3_1
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Protein: P61586 | VAV1 | Cofactors | All
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P61586.E40L

Completed successfully

Protein, domain: P61586 Ras

Interacting with: VAV1 RhoGEF

PDB templates used: 3bji_D, 3bji_A

Seq identity: 0.573, 1.000 Model score: -1.603

ELASPIC ΔΔG: 1.654

ELASPIC2 (EL2) score: 2.417

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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