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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.

P15056.E586K

Detailed results for job #oncokb produced by ELASPIC

P15056, Serine/threonine-protein kinase B-raf:
E586K
1
766
ARAF, Serine/threonine-protein kinase A-Raf:
1
606
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Model: Wild-type | Mutant | Both
Protein: P15056 | ARAF | Cofactors | All
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P15056.E586K

Completed successfully

Protein, domain: P15056 Pkinase_Tyr

Interacting with: ARAF Pkinase_Tyr

PDB templates used: 3skc_B, 3skc_A

Seq identity: 1.000, 0.730 Model score: -0.531

ELASPIC ΔΔG: 1.478

ELASPIC2 (EL2) score: 1.195

Mutation in databases: UniProt, COSMIC.

Download:  PDBwt   | PDBmut

Citation


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