ELASPIC home << Job #oncokb << P22607.S249C
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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.
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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.
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P22607.S249C

Detailed results for job #oncokb produced by ELASPIC
P22607, Fibroblast growth factor receptor 3:
S249C
1
806
I-set
I-set
Pkinase_Tyr
FGF9, Fibroblast growth factor 9:
1
208
FGF
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Model: Wild-type | Mutant | Both
Protein: P22607 | FGF9 | Cofactors | All
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P22607.S249C

Completed successfully

Protein, domain: P22607 I-set

Interacting with: FGF9 FGF

PDB templates used: 1ry7_B, 1ry7_A

Seq identity: 1.000, 0.415 Model score: 0.205

ELASPIC ΔΔG: 0.910

ELASPIC2 (EL2) score: -0.407

Mutation in databases: UniProt, COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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