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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.

O60674.S1025C

Detailed results for job #oncokb produced by ELASPIC

O60674, Tyrosine-protein kinase JAK2:
S1025C
1
1132
NFKBIA, NF-kappa-B inhibitor alpha:
1
317
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Protein: O60674 | NFKBIA | Cofactors | All
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O60674.S1025C

Completed successfully

Protein, domain: O60674 Pkinase_Tyr

Interacting with: NFKBIA Ank

PDB templates used: 3zu7_A, 3zu7_B

Seq identity: 0.279, 0.413 Model score: 0.875

ELASPIC ΔΔG: 1.032

ELASPIC2 (EL2) score: -0.148

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation


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