ELASPIC home << Job #oncokb << Q02750.S222D
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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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Q02750.S222D

Detailed results for job #oncokb produced by ELASPIC
Q02750, Dual specificity mitogen-activated protein kinase kinase 1:
S222D
1
393
Pkinase
ERBB3, Receptor tyrosine-protein kinase erbB-3:
1
1342
Pkinase_Tyr
Recep_..
Furin-l..
Recep_L_..
GF_re..
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Protein: Q02750 | ERBB3 | Cofactors | All
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Q02750.S222D

Completed successfully

Protein, domain: Q02750 Pkinase

Interacting with: ERBB3 Pkinase_Tyr

PDB templates used: 2y4i_C, 2y4i_B

Seq identity: 0.897, 0.229 Model score: 0.747

ELASPIC ΔΔG: 0.671

ELASPIC2 (EL2) score: 1.528

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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