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
FKBP4, Peptidyl-prolyl cis-trans isomerase FKBP4:
1
459
FKBP_C
FKBP_C
TPR_1
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Model: Wild-type | Mutant | Both
Protein: Q04771 | FKBP4 | Cofactors | All
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Q04771.R206H

Completed successfully

Protein, domain: Q04771 TGF_beta_GS+Pkinase

Interacting with: FKBP4 FKBP_C

PDB templates used: 4c02_A, 4c02_B

Seq identity: 0.972, 0.495 Model score: -0.805

ELASPIC ΔΔG: 0.719

ELASPIC2 (EL2) score: 0.816

Mutation in databases: UniProt, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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