ELASPIC home << Job #oncokb << P36897.S387Y
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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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P36897.S387Y

Detailed results for job #oncokb produced by ELASPIC
P36897, TGF-beta receptor type-1:
S387Y
1
503
Activin_recp
TGF_beta_GS+Pkinase
DAPK2 isoform 2, Isoform 2 of Death-associated protein kinase 2:
1
488
Pkinase
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P36897.S387Y

Completed successfully

Protein, domain: P36897 TGF_beta_GS+Pkinase

Interacting with: DAPK2 isoform 2 Pkinase

PDB templates used: 1wmk_E, 1wmk_A

Seq identity: 0.255, 1.000 Model score: 0.227

ELASPIC ΔΔG: 0.926

ELASPIC2 (EL2) score: 1.834

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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