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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.

Q9UM73.R1192P

Detailed results for job #oncokb produced by ELASPIC

Q9UM73, ALK tyrosine kinase receptor:
R1192P
1
1620
ACK1 isoform 2, Isoform 2 of Activated CDC42 kinase 1:
1
528
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Q9UM73.R1192P

Completed successfully

Protein, domain: Q9UM73 Pkinase_Tyr

Interacting with: ACK1 isoform 2 Pkinase_Tyr

PDB templates used: 4ewh_A, 4ewh_B

Seq identity: 0.346, 0.996 Model score: -0.421

ELASPIC ΔΔG: -0.583

ELASPIC2 (EL2) score: 1.024

Mutation in database: UniProt.

Download:  PDBwt   | PDBmut

Citation


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