ELASPIC home << Job #oncokb << P42345.P2273S
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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.P2273S

Detailed results for job #oncokb produced by ELASPIC
P42345, Serine/threonine-protein kinase mTOR:
P2273S
1
2549
..
FAT
PI3_PI4..
MLST8, Target of rapamycin complex subunit LST8:
1
326
WD40
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Model: Wild-type | Mutant | Both
Protein: P42345 | MLST8 | Cofactors | All
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P42345.P2273S

Completed successfully

Protein, domain: P42345 PI3_PI4_kinase

Interacting with: MLST8 WD40

PDB templates used: 4jsn_B, 4jsn_D

Seq identity: 1.000, 1.000 Model score: -0.476

ELASPIC ΔΔG: 1.993

ELASPIC2 (EL2) score: 1.231

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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