articleJournal of Molecular BiologyApr 14, 2019HYBRID OA

Can Predicted Protein 3D Structures Provide Reliable Insights into whether Missense Variants Are Disease Associated?

Imperial College London

PubMed
Indexed incrossrefpubmed

Abstract

Knowledge of protein structure can be used to predict the phenotypic consequence of a missense variant. Since structural coverage of the human proteome can be roughly tripled to over 50% of the residues if homology-predicted structures are included in addition to experimentally determined coordinates, it is important to assess the reliability of using predicted models when analyzing missense variants. Accordingly, we assess whether a missense variant is structurally damaging by using experimental and predicted structures. We considered 606 experimental structures and show that 40% of the 1965 disease-associated missense variants analyzed have a structurally damaging change in the mutant structure. Only 11% of…

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Authors

6

Topics & keywords

Keywords
  • Missense mutation
  • Homology modeling
  • Genetics
  • Computational biology
  • Phenotype
  • Mutant
  • Biology
  • Homology (biology)
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