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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.

P04626.E719K

Detailed results for job #oncokb produced by ELASPIC

P04626, Receptor tyrosine-protein kinase erbB-2:
E719K
1
1255
MATK isoform 2, Isoform 2 of Megakaryocyte-associated tyrosine-protein kinase:
1
508
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P04626.E719K

Completed successfully

Protein, domain: P04626 Pkinase_Tyr

Interacting with: MATK isoform 2 Pkinase_Tyr

PDB templates used: 3pp0_A, 3pp0_B

Seq identity: 0.986, 0.354 Model score: -0.583

ELASPIC ΔΔG: -0.762

ELASPIC2 (EL2) score: 1.858

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation


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