ELASPIC home << Job #oncokb << Q15831.D176N
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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
Pkinase
MARK1, Serine/threonine-protein kinase MARK1:
1
795
KA1
Pkinase
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Model: Wild-type | Mutant | Both
Protein: Q15831 | MARK1 | Cofactors | All
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Q15831.D176N

Completed successfully

Protein, domain: Q15831 Pkinase

Interacting with: MARK1 Pkinase

PDB templates used: 1y8g_A, 1y8g_B

Seq identity: 0.317, 0.887 Model score: -0.069

ELASPIC ΔΔG: 0.283

ELASPIC2 (EL2) score: 2.128

Mutation in database: UniProt.

Download:  PDBwt   | PDBmut

Citation

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