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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.

O60674.V617F

Detailed results for job #oncokb produced by ELASPIC

O60674, Tyrosine-protein kinase JAK2:
V617F
1
1132
KIT isoform 2, Isoform 2 of Mast/stem cell growth factor receptor Kit:
1
972
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O60674.V617F

Completed successfully

Protein, domain: O60674 Pkinase_Tyr

Interacting with: KIT isoform 2 Pkinase_Tyr

PDB templates used: 3kxx_C, 3kxx_B

Seq identity: 0.232, 0.433 Model score: 0.735

ELASPIC ΔΔG: 1.177

ELASPIC2 (EL2) score: 0.083

Mutation in databases: UniProt, COSMIC.

Download:  PDBwt   | PDBmut

Citation


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