ELASPIC home << Job #oncokb << P38398.R1699Q
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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.

P38398.R1699Q

Detailed results for job #oncokb produced by ELASPIC
P38398, Breast cancer type 1 susceptibility protein:
R1699Q
1
1863
zf..
BRCT
A0AVN2, BRCA1 associated RING domain 1:
1
777
zf-RING_6
Ank
BRCT
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Model: Wild-type | Mutant | Both
Protein: P38398 | A0AVN2 | Cofactors | All
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P38398.R1699Q

Completed successfully

Protein, domain: P38398 BRCT

Interacting with: A0AVN2 BRCT

PDB templates used: 2nte_B, 2nte_A

Seq identity: 0.253, 1.000 Model score: -0.074

ELASPIC ΔΔG: 0.049

ELASPIC2 (EL2) score: -0.342

Mutation in database: UniProt.

Download:  PDBwt   | PDBmut

Citation

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