ELASPIC home << Job #oncokb << P42345.Q2223K
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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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P42345.Q2223K

Detailed results for job #oncokb produced by ELASPIC
P42345, Serine/threonine-protein kinase mTOR:
Q2223K
1
2549
Ra..
FAT
PI3_PI4_kin..
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P42345.Q2223K

Completed successfully

Protein, domain: P42345 PI3_PI4_kinase

Type: Core (stability)

PDB template used: 4jt6_B

Seq identity: 1.000 Model score: 1.245

ELASPIC ΔΔG: 0.430

ELASPIC2 (EL2) score: 1.318

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation

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