ELASPIC home << Job #oncokb << Q04771.G356D
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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.

Q04771.G356D

Detailed results for job #oncokb produced by ELASPIC
Q04771, Activin receptor type-1:
G356D
1
509
Activin_recp
TGF_beta_GS+Pkinase
PAK1, Serine/threonine-protein kinase PAK 1:
1
545
Pkinase
PBD
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Protein: Q04771 | PAK1 | Cofactors | All
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Q04771.G356D

Completed successfully

Protein, domain: Q04771 TGF_beta_GS+Pkinase

Interacting with: PAK1 PBD

PDB templates used: 1f3m_D, 1f3m_B

Seq identity: 0.241, 1.000 Model score: 0.571

ELASPIC ΔΔG: -0.198

ELASPIC2 (EL2) score: 1.861

Mutation in databases: UniProt, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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