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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.

P43246.S723F

Detailed results for job #oncokb produced by ELASPIC

P43246, DNA mismatch repair protein Msh2:
S723F
1
934
MSH6, DNA mismatch repair protein Msh6:
1
1360
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Protein: P43246 | MSH6 | Cofactors | All
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P43246.S723F

Completed successfully

Protein, domain: P43246 MutS_III+MutS_V

Interacting with: MSH6 MutS_III+MutS_V

PDB templates used: 2o8b_A, 2o8b_B

Seq identity: 0.962, 0.887 Model score: -0.238

ELASPIC ΔΔG: 1.054

ELASPIC2 (EL2) score: 2.391

Mutation in databases: UniProt, COSMIC.

Download:  PDBwt   | PDBmut

Citation


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