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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.

P21802.N549K

Detailed results for job #oncokb produced by ELASPIC

P21802, Fibroblast growth factor receptor 2:
N549K
1
821

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P21802.N549K

Completed successfully

Protein, domain: P21802 Pkinase_Tyr

Type: Core (stability)

PDB template used: 2psq_A

Seq identity: 1.000 Model score: -1.206

ELASPIC ΔΔG: 0.857

ELASPIC2 (EL2) score: 2.948

Mutation in databases: COSMIC, COSMIC, COSMIC, COSMIC, COSMIC, COSMIC, COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation


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