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
KS6B1 isoform 2, Isoform Alpha II of Ribosomal protein S6 kinase beta-1:
1
502
Pkinase+Pkinase_C
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P36897.S387Y

Completed successfully

Protein, domain: P36897 TGF_beta_GS+Pkinase

Interacting with: KS6B1 isoform 2 Pkinase+Pkinase_C

PDB templates used: 3a60_A, 3a60_B

Seq identity: 0.252, 0.885 Model score: 0.875

ELASPIC ΔΔG: 0.686

ELASPIC2 (EL2) score: 1.798

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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