ELASPIC home << Job #oncokb << P00533.L861Q
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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.L861Q

Detailed results for job #oncokb produced by ELASPIC
P00533, Epidermal growth factor receptor:
L861Q
1
1210
Recep_L_d..
Recep_..
Furin..
Pkinase_Tyr
ROR1 isoform 3, Isoform 3 of Tyrosine-protein kinase transmembrane receptor ROR1:
1
393
I-set
Fz
Kringle
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P00533.L861Q

Completed successfully

Protein, domain: P00533 Pkinase_Tyr

Interacting with: ROR1 isoform 3 I-set

PDB templates used: 3uto_B, 3uto_A

Seq identity: 0.230, 0.292 Model score: 0.620

ELASPIC ΔΔG: 1.229

ELASPIC2 (EL2) score: 0.464

Mutation in databases: UniProt, COSMIC.

Download:  PDBwt   | PDBmut

Citation

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