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
PPP1R16B, Protein phosphatase 1 regulatory inhibitor subunit 16B:
1
567
Ank
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Model: Wild-type | Mutant | Both
Protein: P36897 | PPP1R16B | Cofactors | All
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P36897.S387Y

Completed successfully

Protein, domain: P36897 TGF_beta_GS+Pkinase

Interacting with: PPP1R16B Ank

PDB templates used: 3zu7_A, 3zu7_B

Seq identity: 0.263, 0.321 Model score: 1.241

ELASPIC ΔΔG: 1.821

ELASPIC2 (EL2) score: 1.387

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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