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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.
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O00743.S270L

Detailed results for job #oncokb produced by ELASPIC

O00743, Serine/threonine-protein phosphatase 6 catalytic subunit:
S270L
1
305

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O00743.S270L

Completed successfully

Protein, domain: O00743 Metallophos

Type: Core (stability)

PDB template used: 3k7w_C

Seq identity: 0.615 Model score: -1.437

ELASPIC ΔΔG: -0.281

ELASPIC2 (EL2) score: 2.143

Mutation in databases: COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation


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