ELASPIC home << Job #oncokb << P04637.R248Q
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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.R248Q

Detailed results for job #oncokb produced by ELASPIC
P04637, Cellular tumor antigen p53:
R248Q
1
393
P53_TAD
P53+P53_tetramer
LYN, Tyrosine-protein kinase Lyn:
1
512
SH3_1
SH2
Pkinase_Tyr
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Model: Wild-type | Mutant | Both
Protein: P04637 | LYN | Cofactors | All
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P04637.R248Q

Completed successfully

Protein, domain: P04637 P53+P53_tetramer

Interacting with: LYN SH3_1

PDB templates used: 1ycs_A, 1ycs_B

Seq identity: 1.000, 0.333 Model score: -0.113

ELASPIC ΔΔG: 2.135

ELASPIC2 (EL2) score: 0.695

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

Download:  PDBwt   | PDBmut

Citation

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