ELASPIC home << Job #oncokb << P21802.R251Q
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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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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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P21802.R251Q

Detailed results for job #oncokb produced by ELASPIC
P21802, Fibroblast growth factor receptor 2:
R251Q
1
821
I-set
I-set
Pkinase_Tyr
FGF3, Fibroblast growth factor 3:
1
239
FGF
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Model: Wild-type | Mutant | Both
Protein: P21802 | FGF3 | Cofactors | All
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P21802.R251Q

Completed successfully

Protein, domain: P21802 I-set

Interacting with: FGF3 FGF

PDB templates used: 1iil_G, 1iil_C

Seq identity: 0.991, 0.402 Model score: 0.266

ELASPIC ΔΔG: 0.635

ELASPIC2 (EL2) score: -1.083

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation

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