ELASPIC home << Job #oncokb << P62070.Q72L
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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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P62070.Q72L

Detailed results for job #oncokb produced by ELASPIC
P62070, Ras-related protein R-Ras2:
Q72L
1
204
Ras
RASGRP3, Ras guanyl-releasing protein 3:
1
690
RasGEF_N+RasGEF
EF..
C1_1
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Model: Wild-type | Mutant | Both
Protein: P62070 | RASGRP3 | Cofactors | All
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P62070.Q72L

Completed successfully

Protein, domain: P62070 Ras

Interacting with: RASGRP3 RasGEF_N+RasGEF

PDB templates used: 4nyi_Q, 4nyi_S

Seq identity: 0.605, 0.229 Model score: 0.475

ELASPIC ΔΔG: 1.895

ELASPIC2 (EL2) score: 2.651

Mutation in databases: UniProt, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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