ELASPIC home << Job #oncokb << Q92963.Q40L
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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.
For more information see the ELASPIC publication.
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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.

Q92963.Q40L

Detailed results for job #oncokb produced by ELASPIC
Q92963, GTP-binding protein Rit1:
Q40L
1
219
Ras
RGL1, Ral guanine nucleotide dissociation stimulator-like 1:
1
768
RA
RasGEF_N+RasGEF
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Model: Wild-type | Mutant | Both
Protein: Q92963 | RGL1 | Cofactors | All
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Q92963.Q40L

Completed successfully

Protein, domain: Q92963 Ras

Interacting with: RGL1 RasGEF_N+RasGEF

PDB templates used: 1nvv_Q, 1nvv_S

Seq identity: 0.524, 0.227 Model score: 0.787

ELASPIC ΔΔG: 0.688

ELASPIC2 (EL2) score: 1.784

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation

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