ELASPIC home << Job #oncokb << P22607.R669G
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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.R669G

Detailed results for job #oncokb produced by ELASPIC
P22607, Fibroblast growth factor receptor 3:
R669G
1
806
I-set
I-set
Pkinase_Tyr
FGFR3, Fibroblast growth factor receptor 3:
1
806
I-set
I-set
Pkinase_Tyr
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Model: Wild-type | Mutant | Both
Protein: P22607 | FGFR3 | Cofactors | All
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P22607.R669G

Completed successfully

Protein, domain: P22607 Pkinase_Tyr

Interacting with: FGFR3 Pkinase_Tyr

PDB templates used: 4j96_A, 4j96_B

Seq identity: 0.852, 0.859 Model score: -0.837

ELASPIC ΔΔG: 2.060

ELASPIC2 (EL2) score: -0.133

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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