ELASPIC home << Job #oncokb << O00743.R264C
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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.R264C

Detailed results for job #oncokb produced by ELASPIC
O00743, Serine/threonine-protein phosphatase 6 catalytic subunit:
R264C
1
305
Metallophos
PPP4C, Serine/threonine-protein phosphatase 4 catalytic subunit:
1
307
Metallophos
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Protein: O00743 | PPP4C | Cofactors | All
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O00743.R264C

Completed successfully

Protein, domain: O00743 Metallophos

Interacting with: PPP4C Metallophos

PDB templates used: 1s95_B, 1s95_A

Seq identity: 0.463, 0.426 Model score: -0.286

ELASPIC ΔΔG: 1.064

ELASPIC2 (EL2) score: 1.983

Mutation in databases: COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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