ELASPIC home << Job #oncokb << P10721.V559C
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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.
For more information see the ELASPIC2 (EL2) publication.

P10721.V559C

Detailed results for job #oncokb produced by ELASPIC
P10721, Mast/stem cell growth factor receptor Kit:
V559C
1
976
Pkinase_Tyr
Ig_2
ig
Ig_3
FGR, Tyrosine-protein kinase Fgr:
1
529
SH3_1
SH2
Pkinase_Tyr
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Protein: P10721 | FGR | Cofactors | All
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P10721.V559C

Completed successfully

Protein, domain: P10721 Pkinase_Tyr

Interacting with: FGR Pkinase_Tyr

PDB templates used: 4j96_B, 4j96_A

Seq identity: 0.435, 0.361 Model score: 0.463

ELASPIC ΔΔG: -0.134

ELASPIC2 (EL2) score: 0.383

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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