ELASPIC home << Job #oncokb << P04637.R248W
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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.R248W

Detailed results for job #oncokb produced by ELASPIC
P04637, Cellular tumor antigen p53:
R248W
1
393
P53_TAD
P53+P53_tetramer
P63 isoform 6, Isoform 6 of Tumor protein 63:
1
393
P53+P53_tetramer
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P04637.R248W

Completed successfully

Protein, domain: P04637 P53+P53_tetramer

Interacting with: P63 isoform 6 P53+P53_tetramer

PDB templates used: 4ibt_B, 4ibt_A

Seq identity: 0.990, 0.553 Model score: 0.602

ELASPIC ΔΔG: 1.302

ELASPIC2 (EL2) score: 0.960

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

Download:  PDBwt   | PDBmut

Citation

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