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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.

P38398.H41R

Detailed results for job #oncokb produced by ELASPIC

P38398, Breast cancer type 1 susceptibility protein:
H41R
1
1863
LONRF1, LON peptidase N-terminal domain and RING finger protein 1:
1
773
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Model: Wild-type | Mutant | Both
Protein: P38398 | LONRF1 | Cofactors | All
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P38398.H41R

Completed successfully

Protein, domain: P38398 zf-C3HC4

Interacting with: LONRF1 zf-C3HC4_2

PDB templates used: 2ckl_B, 2ckl_A

Seq identity: 0.347, 0.462 Model score: 0.613

ELASPIC ΔΔG: 0.314

ELASPIC2 (EL2) score: 1.622

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation


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