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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.

P31749.D323H

Detailed results for job #oncokb produced by ELASPIC

P31749, RAC-alpha serine/threonine-protein kinase:
D323H
1
480
KKCC1 isoform 2, Isoform 2 of Calcium/calmodulin-dependent protein kinase kinase 1:
1
520
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P31749.D323H

Completed successfully

Protein, domain: P31749 Pkinase+Pkinase_C

Interacting with: KKCC1 isoform 2 Pkinase

PDB templates used: 3o7l_B, 3o7l_D

Seq identity: 0.428, 0.290 Model score: 0.656

ELASPIC ΔΔG: 1.635

ELASPIC2 (EL2) score: 1.632

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Download:  PDBwt   | PDBmut

Citation


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