ELASPIC home << Job #oncokb << P10721.K642E
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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.K642E

Detailed results for job #oncokb produced by ELASPIC
P10721, Mast/stem cell growth factor receptor Kit:
K642E
1
976
Pkinase_Tyr
Ig_2
ig
Ig_3

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P10721.K642E

Completed successfully

Protein, domain: P10721 Pkinase_Tyr

Type: Core (stability)

PDB template used: 4hvs_A

Seq identity: 0.789 Model score: 0.003

ELASPIC ΔΔG: 0.985

ELASPIC2 (EL2) score: 2.115

Mutation in database: COSMIC.

Download:  PDBwt   | PDBmut

Citation

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