ELASPIC home << Job #oncokb << P00519.H396R
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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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P00519.H396R

Detailed results for job #oncokb produced by ELASPIC
P00519, Tyrosine-protein kinase ABL1:
H396R
1
1130
F_act..
SH..
SH2
Pkinase_Tyr
RAN, GTP-binding nuclear protein Ran:
1
216
Ras
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Model: Wild-type | Mutant | Both
Protein: P00519 | RAN | Cofactors | All
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P00519.H396R

Completed successfully

Protein, domain: P00519 Pkinase_Tyr

Interacting with: RAN Ras

PDB templates used: 2v55_C, 2v55_D

Seq identity: 0.235, 0.266 Model score: 1.095

ELASPIC ΔΔG: 1.556

ELASPIC2 (EL2) score: 0.336

Mutation in databases: COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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