ELASPIC home << Job #oncokb << P42345.E2288K
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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.E2288K

Detailed results for job #oncokb produced by ELASPIC
P42345, Serine/threonine-protein kinase mTOR:
E2288K
1
2549
..
FAT
PI3_PI4..
GNB2, Guanine nucleotide-binding protein G(I)/G(S)/G(T) subunit beta-2:
1
340
WD40
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Model: Wild-type | Mutant | Both
Protein: P42345 | GNB2 | Cofactors | All
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P42345.E2288K

Completed successfully

Protein, domain: P42345 PI3_PI4_kinase

Interacting with: GNB2 WD40

PDB templates used: 4jsn_B, 4jsn_D

Seq identity: 1.000, 0.216 Model score: 0.708

ELASPIC ΔΔG: 2.506

ELASPIC2 (EL2) score: 0.984

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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