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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.I1018F

Detailed results for job #oncokb produced by ELASPIC

O60674, Tyrosine-protein kinase JAK2:
I1018F
1
1132
FGFR1 isoform 5, Isoform 10 of Fibroblast growth factor receptor 1:
1
662
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O60674.I1018F

Completed successfully

Protein, domain: O60674 Pkinase_Tyr

Interacting with: FGFR1 isoform 5 Pkinase_Tyr

PDB templates used: 3kxx_C, 3kxx_B

Seq identity: 0.380, 0.990 Model score: -0.472

ELASPIC ΔΔG: 0.248

ELASPIC2 (EL2) score: 0.613

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation


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