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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.

P22607.K650Q

Detailed results for job #oncokb produced by ELASPIC

P22607, Fibroblast growth factor receptor 3:
K650Q
1
806
PTK2B, Protein-tyrosine kinase 2-beta:
1
1009
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Protein: P22607 | PTK2B | Cofactors | All
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P22607.K650Q

Completed successfully

Protein, domain: P22607 Pkinase_Tyr

Interacting with: PTK2B Pkinase_Tyr

PDB templates used: 4j99_C, 4j99_D

Seq identity: 0.856, 0.373 Model score: -0.532

ELASPIC ΔΔG: 0.801

ELASPIC2 (EL2) score: 1.226

Mutation in databases: UniProt, COSMIC.

Download:  PDBwt   | PDBmut

Citation


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