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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.W531C

Detailed results for job #oncokb produced by ELASPIC

P15056, Serine/threonine-protein kinase B-raf:
W531C
1
766
MK03 isoform 3, Isoform 3 of Mitogen-activated protein kinase 3:
1
357
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P15056.W531C

Completed successfully

Protein, domain: P15056 Pkinase_Tyr

Interacting with: MK03 isoform 3 Pkinase

PDB templates used: 2fys_B, 2fys_A

Seq identity: 0.257, 0.868 Model score: 0.447

ELASPIC ΔΔG: 1.158

ELASPIC2 (EL2) score: 1.933

Mutation in databases: UniProt, COSMIC.

Download:  PDBwt   | PDBmut

Citation


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