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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
MARK2 isoform 15, Isoform 15 of Serine/threonine-protein kinase MARK2:
1
709
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Q15831.D176N

Completed successfully

Protein, domain: Q15831 Pkinase

Interacting with: MARK2 isoform 15 Pkinase

PDB templates used: 1y8g_A, 1y8g_B

Seq identity: 0.317, 0.945 Model score: -0.056

ELASPIC ΔΔG: 0.492

ELASPIC2 (EL2) score: 2.071

Mutation in database: UniProt.

Download:  PDBwt   | PDBmut

Citation


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