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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.
For more information see the ELASPIC2 (EL2) publication.

P22607.R248C

Detailed results for job #oncokb produced by ELASPIC

P22607, Fibroblast growth factor receptor 3:
R248C
1
806
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P22607.R248C

Completed successfully

Protein, domain: P22607 I-set

Type: Core (stability)

PDB template used: 3grw_A

Seq identity: 1.000 Model score: -1.153

ELASPIC ΔΔG: 0.005

ELASPIC2 (EL2) score: 0.966

Mutation in databases: UniProt, COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation


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