ELASPIC home << Job #oncokb << Q13315.R3008C
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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.

Q13315.R3008C

Detailed results for job #oncokb produced by ELASPIC
Q13315, Serine-protein kinase ATM:
R3008C
1
3056
PI3_PI..
ABL1, Tyrosine-protein kinase ABL1:
1
1130
F_act..
SH..
SH2
Pkinase_Tyr
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Model: Wild-type | Mutant | Both
Protein: Q13315 | ABL1 | Cofactors | All
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Q13315.R3008C

Completed successfully

Protein, domain: Q13315 PI3_PI4_kinase

Interacting with: ABL1 SH2

PDB templates used: 2y3a_A, 2y3a_B

Seq identity: 0.256, 0.333 Model score: 1.274

ELASPIC ΔΔG: 2.090

ELASPIC2 (EL2) score: 0.945

Mutation in databases: UniProt, COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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