ELASPIC home << Job #oncokb << P36897.R487Q
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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.
For more information see the ELASPIC publication.
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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.R487Q

Detailed results for job #oncokb produced by ELASPIC
P36897, TGF-beta receptor type-1:
R487Q
1
503
Activin_recp
TGF_beta_GS+Pkinase
BMPR2, Bone morphogenetic protein receptor type-2:
1
1038
Activ..
Pkinase
Select affected interaction:

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Model: Wild-type | Mutant | Both
Protein: P36897 | BMPR2 | Cofactors | All
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P36897.R487Q

Completed successfully

Protein, domain: P36897 TGF_beta_GS+Pkinase

Interacting with: BMPR2 Pkinase

PDB templates used: 3g2f_B, 3g2f_A

Seq identity: 0.386, 0.962 Model score: -0.190

ELASPIC ΔΔG: 0.949

ELASPIC2 (EL2) score: 1.693

Mutation in databases: UniProt, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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