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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.

P10721.V559G

Detailed results for job #oncokb produced by ELASPIC

P10721, Mast/stem cell growth factor receptor Kit:
V559G
1
976
ZAP70 isoform 2, Isoform 2 of Tyrosine-protein kinase ZAP-70:
1
312
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P10721.V559G

Completed successfully

Protein, domain: P10721 Pkinase_Tyr

Interacting with: ZAP70 isoform 2 Pkinase_Tyr

PDB templates used: 4j96_B, 4j96_A

Seq identity: 0.435, 0.343 Model score: 0.838

ELASPIC ΔΔG: -0.249

ELASPIC2 (EL2) score: 0.121

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation


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