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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.

P51587.F1524V

Detailed results for job #oncokb produced by ELASPIC

P51587, Breast cancer type 2 susceptibility protein:
F1524V
1
3418
RAD51, DNA repair protein RAD51 homolog 1:
1
339
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Protein: P51587 | RAD51 | Cofactors | All
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P51587.F1524V

Completed successfully

Protein, domain: P51587 BRCA2

Interacting with: RAD51 HHH_5+Rad51

PDB templates used: 1n0w_B, 1n0w_A

Seq identity: 1.000, 0.868 Model score: -0.772

ELASPIC ΔΔG: 3.392

ELASPIC2 (EL2) score: 1.112

Mutation in database: UniProt.

Download:  PDBwt   | PDBmut

Citation


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