ELASPIC home << Job #oncokb << P31749.D323H
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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.
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P31749.D323H

Detailed results for job #oncokb produced by ELASPIC
P31749, RAC-alpha serine/threonine-protein kinase:
D323H
1
480
PH
Pkinase+Pkinase_C
MARK2, Serine/threonine-protein kinase MARK2:
1
788
Pkinase
KA1
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Protein: P31749 | MARK2 | Cofactors | All
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P31749.D323H

Completed successfully

Protein, domain: P31749 Pkinase+Pkinase_C

Interacting with: MARK2 Pkinase

PDB templates used: 1y8g_A, 1y8g_B

Seq identity: 0.358, 0.945 Model score: 0.176

ELASPIC ΔΔG: 1.203

ELASPIC2 (EL2) score: 1.278

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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