ELASPIC home << Job #oncokb << P04629.V710A
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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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P04629.V710A

Detailed results for job #oncokb produced by ELASPIC
P04629, High affinity nerve growth factor receptor:
V710A
1
796
LRR_8
Ig_2
Pkinase_Tyr

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P04629.V710A

Completed successfully

Protein, domain: P04629 Pkinase_Tyr

Type: Core (stability)

PDB template used: 4gt5_A

Seq identity: 1.000 Model score: -1.161

ELASPIC ΔΔG: 1.561

ELASPIC2 (EL2) score: 2.500

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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