ELASPIC home << Job #oncokb << P00533.G465E
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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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P00533.G465E

Detailed results for job #oncokb produced by ELASPIC
P00533, Epidermal growth factor receptor:
G465E
1
1210
Recep_L_d..
Recep_..
Furin..
Pkinase_Tyr
ANKRD13B, Ankyrin repeat domain-containing protein 13B:
1
626
Ank_2
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Model: Wild-type | Mutant | Both
Protein: P00533 | ANKRD13B | Cofactors | All
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P00533.G465E

Completed successfully

Protein, domain: P00533 Recep_L_domain

Interacting with: ANKRD13B Ank_2

PDB templates used: 4hrl_C, 4hrl_A

Seq identity: 0.292, 0.393 Model score: 0.684

ELASPIC ΔΔG: -0.914

ELASPIC2 (EL2) score: -0.952

Mutation run by user.

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Citation

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