ELASPIC home << Job #oncokb << Q13315.D2870A
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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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Q13315.D2870A

Detailed results for job #oncokb produced by ELASPIC
Q13315, Serine-protein kinase ATM:
D2870A
1
3056
PI3_PI..
ATM, Serine-protein kinase ATM:
1
3056
PI3_PI..
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Protein: Q13315 | ATM | Cofactors | All
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Q13315.D2870A

Completed successfully

Protein, domain: Q13315 PI3_PI4_kinase

Interacting with: ATM PI3_PI4_kinase

PDB templates used: 2x6f_B, 2x6f_A

Seq identity: 0.229, 0.229 Model score: 1.547

ELASPIC ΔΔG: 0.276

ELASPIC2 (EL2) score: 2.512

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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