ELASPIC home << Job #oncokb << O60674.F1061W
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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.
For more information see the ELASPIC2 (EL2) publication.

O60674.F1061W

Detailed results for job #oncokb produced by ELASPIC
O60674, Tyrosine-protein kinase JAK2:
F1061W
1
1132
Pkinase_Tyr
Pkinase_Tyr
CALM1, Calmodulin:
1
149
EF-hand_7
EF-hand_7
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Model: Wild-type | Mutant | Both
Protein: O60674 | CALM1 | Cofactors | All
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O60674.F1061W

Completed successfully

Protein, domain: O60674 Pkinase_Tyr

Interacting with: CALM1 EF-hand_7

PDB templates used: 2x0g_A, 2x0g_B

Seq identity: 0.299, 0.985 Model score: -0.031

ELASPIC ΔΔG: 0.793

ELASPIC2 (EL2) score: 0.200

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

If you use these results, please cite the papers on this page.