ELASPIC home << Job #oncokb << Q92574.H105R
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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.

Q92574.H105R

Detailed results for job #oncokb produced by ELASPIC
Q92574, Hamartin:
H105R
1
1164
Hamartin
TSC1, Hamartin:
1
1164
Hamartin
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Protein: Q92574 | TSC1 | Cofactors | All
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Q92574.H105R

Completed successfully

Protein, domain: Q92574 Hamartin

Interacting with: TSC1 Hamartin

PDB templates used: 4kk0_B, 4kk0_A

Seq identity: 0.278, 0.267 Model score: 0.793

ELASPIC ΔΔG: -0.176

ELASPIC2 (EL2) score: -0.803

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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