ELASPIC home << Job #oncokb << P04637.R280K
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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.R280K

Detailed results for job #oncokb produced by ELASPIC
P04637, Cellular tumor antigen p53:
R280K
1
393
P53_TAD
P53+P53_tetramer
BTK, Tyrosine-protein kinase BTK:
1
659
PH+BTK
Pkinase_Tyr
SH3_1
SH2
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Protein: P04637 | BTK | Cofactors | All
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P04637.R280K

Completed successfully

Protein, domain: P04637 P53+P53_tetramer

Interacting with: BTK SH3_1

PDB templates used: 1ycs_A, 1ycs_B

Seq identity: 1.000, 0.389 Model score: -0.468

ELASPIC ΔΔG: 0.698

ELASPIC2 (EL2) score: -0.152

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

Download:  PDBwt   | PDBmut

Citation

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