ELASPIC home << Job #oncokb << P04626.R143Q
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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.R143Q

Detailed results for job #oncokb produced by ELASPIC
P04626, Receptor tyrosine-protein kinase erbB-2:
R143Q
1
1255
Recep_L_..
Pkinase_Tyr
Furin-like
GF_rec..
Recep_L_..
ERBB4, Receptor tyrosine-protein kinase erbB-4:
1
1308
Pkinase_Tyr
Furin..
Recep_L..
Recep_L_..
GF_rec..
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Protein: P04626 | ERBB4 | Cofactors | All
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P04626.R143Q

Completed successfully

Protein, domain: P04626 Recep_L_domain

Interacting with: ERBB4 Furin-like

PDB templates used: 3u7u_B, 3u7u_A

Seq identity: 0.475, 1.000 Model score: 1.562

ELASPIC ΔΔG: 0.773

ELASPIC2 (EL2) score: -1.339

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation

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