ELASPIC home << Job #oncokb << P10721.R634W
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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.
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P10721.R634W

Detailed results for job #oncokb produced by ELASPIC
P10721, Mast/stem cell growth factor receptor Kit:
R634W
1
976
Pkinase_Tyr
Ig_2
ig
Ig_3
FER, Tyrosine-protein kinase Fer:
1
822
SH2
Pkinase_Tyr
FCH
Select affected interaction:

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Model: Wild-type | Mutant | Both
Protein: P10721 | FER | Cofactors | All
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P10721.R634W

Completed successfully

Protein, domain: P10721 Pkinase_Tyr

Interacting with: FER Pkinase_Tyr

PDB templates used: 3kxx_B, 3kxx_C

Seq identity: 0.433, 0.415 Model score: 0.366

ELASPIC ΔΔG: 1.552

ELASPIC2 (EL2) score: 0.684

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation

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