ELASPIC home << Job #oncokb << P04637.P47S
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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.
For more information see the ELASPIC2 (EL2) publication.

P04637.P47S

Detailed results for job #oncokb produced by ELASPIC
P04637, Cellular tumor antigen p53:
P47S
1
393
P53_TAD
P53+P53_tetramer
HMGB1, High mobility group protein B1:
1
215
HMG_box_2
HMG_box
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Model: Wild-type | Mutant | Both
Protein: P04637 | HMGB1 | Cofactors | All
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P04637.P47S

Completed successfully

Protein, domain: P04637 P53_TAD

Interacting with: HMGB1 HMG_box_2

PDB templates used: 2ly4_B, 2ly4_A

Seq identity: 1.000, 1.000 Model score: -0.582

ELASPIC ΔΔG: 0.580

ELASPIC2 (EL2) score: -0.943

Mutation in database: UniProt.

Download:  PDBwt   | PDBmut

Citation

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