ELASPIC home << Job #oncokb << Q04771.R206H
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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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Q04771.R206H

Detailed results for job #oncokb produced by ELASPIC
Q04771, Activin receptor type-1:
R206H
1
509
Activin_recp
TGF_beta_GS+Pkinase
ACV1C isoform 4, Isoform 4 of Activin receptor type-1C:
1
443
TGF_beta_GS+Pkinase
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Q04771.R206H

Completed successfully

Protein, domain: Q04771 TGF_beta_GS+Pkinase

Interacting with: ACV1C isoform 4 TGF_beta_GS+Pkinase

PDB templates used: 3q4u_A, 3q4u_B

Seq identity: 0.997, 0.635 Model score: -0.738

ELASPIC ΔΔG: 1.192

ELASPIC2 (EL2) score: -0.015

Mutation in databases: UniProt, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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