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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.

Q15831.D176N

Detailed results for job #oncokb produced by ELASPIC

Q15831, Serine/threonine-protein kinase STK11:
D176N
1
433
RPS6KB1, Ribosomal protein S6 kinase beta-1:
1
525
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Protein: Q15831 | RPS6KB1 | Cofactors | All
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Q15831.D176N

Completed successfully

Protein, domain: Q15831 Pkinase

Interacting with: RPS6KB1 Pkinase+Pkinase_C

PDB templates used: 3a60_B, 3a60_A

Seq identity: 0.272, 0.916 Model score: 0.602

ELASPIC ΔΔG: 0.266

ELASPIC2 (EL2) score: 1.969

Mutation in database: UniProt.

Download:  PDBwt   | PDBmut

Citation


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