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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.

P21860.G284R

Detailed results for job #oncokb produced by ELASPIC

P21860, Receptor tyrosine-protein kinase erbB-3:
G284R
1
1342
EGFR, Epidermal growth factor receptor:
1
1210
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Protein: P21860 | EGFR | Cofactors | All
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P21860.G284R

Completed successfully

Protein, domain: P21860 Furin-like

Interacting with: EGFR Furin-like

PDB templates used: 1ivo_B, 1ivo_A

Seq identity: 0.487, 1.000 Model score: 1.064

ELASPIC ΔΔG: 0.781

ELASPIC2 (EL2) score: 0.066

Mutation in databases: COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation


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