ELASPIC home << Job #oncokb << P00533.I941R
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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.
For more information see the ELASPIC2 (EL2) publication.

P00533.I941R

Detailed results for job #oncokb produced by ELASPIC
P00533, Epidermal growth factor receptor:
I941R
1
1210
Recep_L_d..
Recep_..
Furin..
Pkinase_Tyr
ABL2, Abelson tyrosine-protein kinase 2:
1
1182
Pkinase_Tyr
F_ac..
S..
SH2
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Model: Wild-type | Mutant | Both
Protein: P00533 | ABL2 | Cofactors | All
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P00533.I941R

Completed successfully

Protein, domain: P00533 Pkinase_Tyr

Interacting with: ABL2 Pkinase_Tyr

PDB templates used: 4lrm_A, 4lrm_B

Seq identity: 0.990, 0.399 Model score: -0.229

ELASPIC ΔΔG: 1.607

ELASPIC2 (EL2) score: 1.276

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation

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