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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.

P38398.T1691K

Detailed results for job #oncokb produced by ELASPIC

P38398, Breast cancer type 1 susceptibility protein:
T1691K
1
1863
F6MDI0, BRCA1 associated RING domain 1 isoform phi:
1
326
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Protein: P38398 | F6MDI0 | Cofactors | All
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P38398.T1691K

Completed successfully

Protein, domain: P38398 BRCT

Interacting with: F6MDI0 BRCT

PDB templates used: 2nte_B, 2nte_A

Seq identity: 0.253, 1.000 Model score: -0.156

ELASPIC ΔΔG: 0.122

ELASPIC2 (EL2) score: 0.103

Mutation run by user.

Download:  PDBwt   | PDBmut

Citation


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