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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.

P00519.E459K

Detailed results for job #oncokb produced by ELASPIC

P00519, Tyrosine-protein kinase ABL1:
E459K
1
1130
ASAP1, Arf-GAP with SH3 domain, ANK repeat and PH domain-containing protein 1:
1
1129
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Model: Wild-type | Mutant | Both
Protein: P00519 | ASAP1 | Cofactors | All
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P00519.E459K

Completed successfully

Protein, domain: P00519 Pkinase_Tyr

Interacting with: ASAP1 ArfGap+Ank_2

PDB templates used: 3zu7_A, 3zu7_B

Seq identity: 0.257, 0.323 Model score: 1.589

ELASPIC ΔΔG: 0.410

ELASPIC2 (EL2) score: 1.706

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation


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