ELASPIC home << Job #oncokb << P36888.D324N
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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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P36888.D324N

Detailed results for job #oncokb produced by ELASPIC
P36888, Receptor-type tyrosine-protein kinase FLT3:
D324N
1
993
Pkinase_Tyr
ig

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P36888.D324N

Completed successfully

Protein, domain: P36888 ig

Type: Core (stability)

PDB template used: 3qs7_H

Seq identity: 1.000 Model score: 0.401

ELASPIC ΔΔG: 0.044

ELASPIC2 (EL2) score: 0.963

Mutation in databases: UniProt, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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