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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.
For more information see the ELASPIC2 (EL2) publication.

P46531.I1718T

Detailed results for job #oncokb produced by ELASPIC

P46531, Neurogenic locus notch homolog protein 1:
I1718T
1
2555
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P46531.I1718T

Completed successfully

Protein, domain: P46531 NODP

Type: Core (stability)

PDB template used: 3eto_B

Seq identity: 1.000 Model score: 0.853

ELASPIC ΔΔG: 0.244

ELASPIC2 (EL2) score: 2.262

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation


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