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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.I177N

Detailed results for job #oncokb produced by ELASPIC

Q15831, Serine/threonine-protein kinase STK11:
I177N
1
433
STRADA, STE20-related kinase adapter protein alpha:
1
431
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Protein: Q15831 | STRADA | Cofactors | All
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Q15831.I177N

Completed successfully

Protein, domain: Q15831 Pkinase

Interacting with: STRADA Pkinase

PDB templates used: 3dak_C, 3dak_B

Seq identity: 0.241, 0.321 Model score: 0.677

ELASPIC ΔΔG: 1.445

ELASPIC2 (EL2) score: 1.534

Mutation in database: UniProt.

Download:  PDBwt   | PDBmut

Citation


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