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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.

P23458.A634D

Detailed results for job #oncokb produced by ELASPIC

P23458, Tyrosine-protein kinase JAK1:
A634D
1
1154
PRKCZ, Protein kinase C zeta type:
1
592
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Protein: P23458 | PRKCZ | Cofactors | All
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P23458.A634D

Completed successfully

Protein, domain: P23458 Pkinase_Tyr

Interacting with: PRKCZ Pkinase+Pkinase_C

PDB templates used: 4l00_A, 4l00_B

Seq identity: 0.964, 0.230 Model score: 0.179

ELASPIC ΔΔG: 0.587

ELASPIC2 (EL2) score: 1.201

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation


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