ELASPIC home << Job #oncokb << Q16288.G623R
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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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Q16288.G623R

Detailed results for job #oncokb produced by ELASPIC
Q16288, NT-3 growth factor receptor:
G623R
1
839
I-set
Pkinase_Tyr
LRRNT+LRR_8
ig

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Q16288.G623R

Completed successfully

Protein, domain: Q16288 Pkinase_Tyr

Type: Core (stability)

PDB template used: 3v5q_A

Seq identity: 0.950 Model score: -0.504

ELASPIC ΔΔG: 1.394

ELASPIC2 (EL2) score: 3.291

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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