ELASPIC home << Job #oncokb << P21860.E928G
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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.E928G

Detailed results for job #oncokb produced by ELASPIC
P21860, Receptor tyrosine-protein kinase erbB-3:
E928G
1
1342
Pkinase_Tyr
Recep_..
Furin-l..
Recep_L_..
GF_re..
ERBB2, Receptor tyrosine-protein kinase erbB-2:
1
1255
Recep_L_..
Pkinase_Tyr
Furin-like
GF_rec..
Recep_L_..
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Model: Wild-type | Mutant | Both
Protein: P21860 | ERBB2 | Cofactors | All
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P21860.E928G

Completed successfully

Protein, domain: P21860 Pkinase_Tyr

Interacting with: ERBB2 Pkinase_Tyr

PDB templates used: 3kex_A, 3kex_B

Seq identity: 0.983, 0.611 Model score: -0.377

ELASPIC ΔΔG: 2.795

ELASPIC2 (EL2) score: 0.188

Mutation in databases: COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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