ELASPIC home << Job #oncokb << P31749.K189N
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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.
For more information see the ELASPIC2 (EL2) publication.

P31749.K189N

Detailed results for job #oncokb produced by ELASPIC
P31749, RAC-alpha serine/threonine-protein kinase:
K189N
1
480
PH
Pkinase+Pkinase_C
MARK2 isoform 16, Isoform 16 of Serine/threonine-protein kinase MARK2:
1
724
Pkinase
KA1
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P31749.K189N

Completed successfully

Protein, domain: P31749 Pkinase+Pkinase_C

Interacting with: MARK2 isoform 16 Pkinase

PDB templates used: 1y8g_A, 1y8g_B

Seq identity: 0.358, 0.945 Model score: 0.079

ELASPIC ΔΔG: 0.642

ELASPIC2 (EL2) score: 0.687

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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