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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.

Q16595.S181F

Detailed results for job #a5393e produced by ELASPIC

Q16595, Frataxin, mitochondrial:
S181F
1
210
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Q16595.S181F

Completed successfully

Protein, domain: Q16595 Frataxin_Cyay

Type: Core (stability)

PDB template used: 3s4m_A

Seq identity: 1.000 Model score: -2.148

ELASPIC ΔΔG: 0.952

ELASPIC2 (EL2) score: 0.803

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation


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