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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.
For more information see the ELASPIC publication.
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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.S241Y

Detailed results for job #oncokb produced by ELASPIC

P04637, Cellular tumor antigen p53:
S241Y
1
393
GRB2, Growth factor receptor-bound protein 2:
1
217
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Protein: P04637 | GRB2 | Cofactors | All
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P04637.S241Y

Completed successfully

Protein, domain: P04637 P53+P53_tetramer

Interacting with: GRB2 SH3_1

PDB templates used: 1ycs_A, 1ycs_B

Seq identity: 1.000, 0.353 Model score: -0.287

ELASPIC ΔΔG: 1.443

ELASPIC2 (EL2) score: 2.158

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

Download:  PDBwt   | PDBmut

Citation


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