ELASPIC home << Job #oncokb << P21802.K641N
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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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P21802.K641N

Detailed results for job #oncokb produced by ELASPIC
P21802, Fibroblast growth factor receptor 2:
K641N
1
821
I-set
I-set
Pkinase_Tyr

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P21802.K641N

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: 1.619

ELASPIC2 (EL2) score: 2.669

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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