ELASPIC home << Job #oncokb << P04626.E717K
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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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P04626.E717K

Detailed results for job #oncokb produced by ELASPIC
P04626, Receptor tyrosine-protein kinase erbB-2:
E717K
1
1255
Recep_L_..
Pkinase_Tyr
Furin-like
GF_rec..
Recep_L_..
FER, Tyrosine-protein kinase Fer:
1
822
SH2
Pkinase_Tyr
FCH
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Model: Wild-type | Mutant | Both
Protein: P04626 | FER | Cofactors | All
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P04626.E717K

Completed successfully

Protein, domain: P04626 Pkinase_Tyr

Interacting with: FER Pkinase_Tyr

PDB templates used: 3pp0_A, 3pp0_B

Seq identity: 0.986, 0.357 Model score: -0.577

ELASPIC ΔΔG: 3.017

ELASPIC2 (EL2) score: 1.503

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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