ELASPIC home << Job #oncokb << Q969H0.R465H
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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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Q969H0.R465H

Detailed results for job #oncokb produced by ELASPIC
Q969H0, F-box/WD repeat-containing protein 7:
R465H
1
707
F-box-like
WD40
MTOR, Serine/threonine-protein kinase mTOR:
1
2549
..
FAT
PI3_PI4..
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Protein: Q969H0 | MTOR | Cofactors | All
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Q969H0.R465H

Completed successfully

Protein, domain: Q969H0 WD40

Interacting with: MTOR PI3_PI4_kinase

PDB templates used: 4jsn_D, 4jsn_B

Seq identity: 0.210, 1.000 Model score: 0.678

ELASPIC ΔΔG: 2.333

ELASPIC2 (EL2) score: 1.931

Mutation in databases: UniProt, COSMIC, COSMIC, COSMIC, COSMIC, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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