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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.

P06400.R661W

Detailed results for job #oncokb produced by ELASPIC

P06400, Retinoblastoma-associated protein:
R661W
1
928
RBL2, Retinoblastoma-like protein 2:
1
1139
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Protein: P06400 | RBL2 | Cofactors | All
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P06400.R661W

Completed successfully

Protein, domain: P06400 RB_B+Rb_C

Interacting with: RBL2 RB_A

PDB templates used: 1gux_B, 1gux_A

Seq identity: 1.000, 0.347 Model score: -1.726

ELASPIC ΔΔG: 1.698

ELASPIC2 (EL2) score: 1.132

Mutation in databases: UniProt, COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation


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