Can Predicted Protein 3D Structures Provide Reliable Insights into whether Missense Variants Are Disease Associated?
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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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6Topics & keywords
Topics
Keywords
- Missense mutation
- Homology modeling
- Genetics
- Computational biology
- Phenotype
- Mutant
- Biology
- Homology (biology)
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