ELASPIC home << Job #oncokb << P04637.C176R
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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.C176R

Detailed results for job #oncokb produced by ELASPIC
P04637, Cellular tumor antigen p53:
C176R
1
393
P53_TAD
P53+P53_tetramer
P73 isoform 2, Isoform Beta of Tumor protein p73:
1
499
P53+P53_tetramer
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P04637.C176R

Completed successfully

Protein, domain: P04637 P53+P53_tetramer

Interacting with: P73 isoform 2 P53+P53_tetramer

PDB templates used: 4guq_B, 4guq_A

Seq identity: 0.584, 0.995 Model score: -0.177

ELASPIC ΔΔG: 2.800

ELASPIC2 (EL2) score: 0.431

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

Download:  PDBwt   | PDBmut

Citation

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