ELASPIC home << Job #oncokb << P00519.E355G
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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.E355G

Detailed results for job #oncokb produced by ELASPIC
P00519, Tyrosine-protein kinase ABL1:
E355G
1
1130
F_act..
SH..
SH2
Pkinase_Tyr
NEK8, Serine/threonine-protein kinase Nek8:
1
692
Pkinase
RCC1
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Model: Wild-type | Mutant | Both
Protein: P00519 | NEK8 | Cofactors | All
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P00519.E355G

Completed successfully

Protein, domain: P00519 Pkinase_Tyr

Interacting with: NEK8 Pkinase

PDB templates used: 1opj_A, 1opj_B

Seq identity: 0.996, 0.235 Model score: -0.200

ELASPIC ΔΔG: 4.449

ELASPIC2 (EL2) score: 2.166

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation

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