ELASPIC home << Job #oncokb << P04637.H168N
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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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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.H168N

Detailed results for job #oncokb produced by ELASPIC
P04637, Cellular tumor antigen p53:
H168N
1
393
P53_TAD
P53+P53_tetramer
GRB2, Growth factor receptor-bound protein 2:
1
217
SH3_1
SH3_1
SH2
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Protein: P04637 | GRB2 | Cofactors | All
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P04637.H168N

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: 0.516

ELASPIC2 (EL2) score: -1.023

Mutation in databases: UniProt, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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