ELASPIC home << Job #oncokb << Q15303.M887I
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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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Q15303.M887I

Detailed results for job #oncokb produced by ELASPIC
Q15303, Receptor tyrosine-protein kinase erbB-4:
M887I
1
1308
Pkinase_Tyr
Furin..
Recep_L..
Recep_L_..
GF_rec..
CRK, Adapter molecule crk:
1
304
SH3_2
SH2
SH3_1
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Model: Wild-type | Mutant | Both
Protein: Q15303 | CRK | Cofactors | All
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Q15303.M887I

Completed successfully

Protein, domain: Q15303 Pkinase_Tyr

Interacting with: CRK SH2

PDB templates used: 4gl9_A, 4gl9_E

Seq identity: 0.358, 0.275 Model score: 0.573

ELASPIC ΔΔG: 0.360

ELASPIC2 (EL2) score: -0.672

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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