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.
For more information see the ELASPIC2 (EL2) publication.

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
RPS6KB1, Ribosomal protein S6 kinase beta-1:
1
525
Pkinase+Pkinase_C
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Protein: P36897 | RPS6KB1 | Cofactors | All
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P36897.S387Y

Completed successfully

Protein, domain: P36897 TGF_beta_GS+Pkinase

Interacting with: RPS6KB1 Pkinase+Pkinase_C

PDB templates used: 3a60_A, 3a60_B

Seq identity: 0.252, 0.885 Model score: 0.921

ELASPIC ΔΔG: -0.203

ELASPIC2 (EL2) score: 1.540

Mutation run by user.

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Citation

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