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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.

P00533.I491M

Detailed results for job #oncokb produced by ELASPIC

P00533, Epidermal growth factor receptor:
I491M
1
1210
ANKRD13A, Ankyrin repeat domain-containing protein 13A:
1
590
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Protein: P00533 | ANKRD13A | Cofactors | All
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P00533.I491M

Completed successfully

Protein, domain: P00533 Recep_L_domain

Interacting with: ANKRD13A Ank

PDB templates used: 4hrl_C, 4hrl_A

Seq identity: 0.292, 0.326 Model score: 0.033

ELASPIC ΔΔG: -0.476

ELASPIC2 (EL2) score: -0.243

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation


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