ELASPIC home << Job #oncokb << P04637.H178D
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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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P04637.H178D

Detailed results for job #oncokb produced by ELASPIC
P04637, Cellular tumor antigen p53:
H178D
1
393
P53_TAD
P53+P53_tetramer
HECTD1, E3 ubiquitin-protein ligase HECTD1:
1
2610
..
HECT
Ank_2
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Protein: P04637 | HECTD1 | Cofactors | All
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P04637.H178D

Completed successfully

Protein, domain: P04637 P53+P53_tetramer

Interacting with: HECTD1 Ank_2

PDB templates used: 1ycs_A, 1ycs_B

Seq identity: 1.000, 0.295 Model score: 0.742

ELASPIC ΔΔG: 3.944

ELASPIC2 (EL2) score: 0.284

Mutation in databases: UniProt, COSMIC, COSMIC, COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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