ELASPIC home << Job #oncokb << P31751.H355M
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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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P31751.H355M

Detailed results for job #oncokb produced by ELASPIC
P31751, RAC-beta serine/threonine-protein kinase:
H355M
1
481
PH
Pkinase+Pkinase_C
GRK5, G protein-coupled receptor kinase 5:
1
590
RGS+Pkinase
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Model: Wild-type | Mutant | Both
Protein: P31751 | GRK5 | Cofactors | All
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P31751.H355M

Completed successfully

Protein, domain: P31751 Pkinase+Pkinase_C

Interacting with: GRK5 RGS+Pkinase

PDB templates used: 3iw4_B, 3iw4_A

Seq identity: 0.460, 0.398 Model score: 1.149

ELASPIC ΔΔG: 2.976

ELASPIC2 (EL2) score: 1.682

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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