ELASPIC home << Job #oncokb << Q9NYV4.R882L
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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.

Q9NYV4.R882L

Detailed results for job #oncokb produced by ELASPIC
Q9NYV4, Cyclin-dependent kinase 12:
R882L
1
1490
Pkinase
CCNK, Cyclin-K:
1
580
Cyclin_N
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Protein: Q9NYV4 | CCNK | Cofactors | All
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Q9NYV4.R882L

Completed successfully

Protein, domain: Q9NYV4 Pkinase

Interacting with: CCNK Cyclin_N

PDB templates used: 3mi9_A, 3mi9_B

Seq identity: 0.472, 0.396 Model score: -0.072

ELASPIC ΔΔG: 1.857

ELASPIC2 (EL2) score: 1.806

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation

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