ELASPIC home << Job #oncokb << P04637.K120M
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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.K120M

Detailed results for job #oncokb produced by ELASPIC
P04637, Cellular tumor antigen p53:
K120M
1
393
P53_TAD
P53+P53_tetramer

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P04637.K120M

Completed successfully

Protein, domain: P04637 P53+P53_tetramer

Type: Core (stability)

PDB template used: 3q01_A

Seq identity: 0.821 Model score: -0.128

ELASPIC ΔΔG: 1.842

ELASPIC2 (EL2) score: 0.734

Mutation in databases: UniProt, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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