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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.

P22607.G697C

Detailed results for job #oncokb produced by ELASPIC

P22607, Fibroblast growth factor receptor 3:
G697C
1
806
FGFR3 isoform 4, Isoform 4 of Fibroblast growth factor receptor 3:
1
791
Select affected interaction:

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P22607.G697C

Completed successfully

Protein, domain: P22607 Pkinase_Tyr

Interacting with: FGFR3 isoform 4 Pkinase_Tyr

PDB templates used: 4j96_B, 4j96_A

Seq identity: 0.859, 0.822 Model score: 0.120

ELASPIC ΔΔG: 0.418

ELASPIC2 (EL2) score: 2.259

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation


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