ELASPIC home << Job #oncokb << P31751.K181M
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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.
For more information see the ELASPIC publication.
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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.
For more information see the ELASPIC2 (EL2) publication.

P31751.K181M

Detailed results for job #oncokb produced by ELASPIC
P31751, RAC-beta serine/threonine-protein kinase:
K181M
1
481
PH
Pkinase+Pkinase_C
EGFR, Epidermal growth factor receptor:
1
1210
Recep_L_d..
Recep_..
Furin..
Pkinase_Tyr
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Protein: P31751 | EGFR | Cofactors | All
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P31751.K181M

Completed successfully

Protein, domain: P31751 Pkinase+Pkinase_C

Interacting with: EGFR Pkinase_Tyr

PDB templates used: 4i24_A, 4i24_B

Seq identity: 0.236, 0.962 Model score: 0.431

ELASPIC ΔΔG: 2.948

ELASPIC2 (EL2) score: 2.290

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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