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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.

Q15303.E872K

Detailed results for job #oncokb produced by ELASPIC

Q15303, Receptor tyrosine-protein kinase erbB-4:
E872K
1
1308
NRG2 isoform 6, Isoform 6 of Pro-neuregulin-2, membrane-bound isoform:
1
422
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Q15303.E872K

Completed successfully

Protein, domain: Q15303 Pkinase_Tyr

Interacting with: NRG2 isoform 6 I-set

PDB templates used: 3uto_B, 3uto_A

Seq identity: 0.267, 0.380 Model score: 0.670

ELASPIC ΔΔG: 0.725

ELASPIC2 (EL2) score: -0.103

Mutation in databases: COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation


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