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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.

P60484.R173P

Detailed results for job #oncokb produced by ELASPIC

P60484, Phosphatidylinositol 3,4,5-trisphosphate 3-phosphatase and dual-specificity protein phosphatase PTEN:
R173P
1
403
PTPN14, Tyrosine-protein phosphatase non-receptor type 14:
1
1187
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Protein: P60484 | PTPN14 | Cofactors | All
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P60484.R173P

Completed successfully

Protein, domain: P60484 DSPc

Interacting with: PTPN14 Y_phosphatase

PDB templates used: 2q05_D, 2q05_C

Seq identity: 0.291, 0.261 Model score: 1.862

ELASPIC ΔΔG: 1.168

ELASPIC2 (EL2) score: 2.193

Mutation in database: UniProt.

Download:  PDBwt   | PDBmut

Citation


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