ELASPIC home << Job #oncokb << O96017.K373E
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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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O96017.K373E

Detailed results for job #oncokb produced by ELASPIC
O96017, Serine/threonine-protein kinase Chk2:
K373E
1
543
FHA
Pkinase
DAPK3, Death-associated protein kinase 3:
1
454
Pkinase
Select affected interaction:

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Model: Wild-type | Mutant | Both
Protein: O96017 | DAPK3 | Cofactors | All
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O96017.K373E

Completed successfully

Protein, domain: O96017 Pkinase

Interacting with: DAPK3 Pkinase

PDB templates used: 2j90_A, 2j90_B

Seq identity: 0.358, 0.978 Model score: -0.373

ELASPIC ΔΔG: 0.077

ELASPIC2 (EL2) score: 1.140

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation

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