ELASPIC home << Job #oncokb << P01111.Q61L
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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.

P01111.Q61L

Detailed results for job #oncokb produced by ELASPIC
P01111, GTPase NRas:
Q61L
1
189
Ras
RASGRP2, RAS guanyl-releasing protein 2:
1
609
RasGEF_N+RasGEF
EF..
C1_1
Select affected interaction:

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Model: Wild-type | Mutant | Both
Protein: P01111 | RASGRP2 | Cofactors | All
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P01111.Q61L

Completed successfully

Protein, domain: P01111 Ras

Interacting with: RASGRP2 RasGEF_N+RasGEF

PDB templates used: 4nyi_R, 4nyi_S

Seq identity: 0.916, 0.197 Model score: -0.060

ELASPIC ΔΔG: 0.800

ELASPIC2 (EL2) score: 2.301

Mutation in databases: COSMIC, COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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