Journal
BIOMOLECULES
Volume 12, Issue 10, Pages -Publisher
MDPI
DOI: 10.3390/biom12101435
Keywords
computational structural biology; protein InDel mutations; graph-theory; rigidity
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Funding
- NSF [IIS-2031260, IIS-2031283]
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The effects of amino acid insertions and deletions (InDels) on structural biology are understudied. Research on the structural significance of InDels is limited due to a lack of experimental information and computational methods. This study addresses this gap by computationally modeling InDels, investigating rigidity differences, and comparing them to the effects of amino acid substitutions.
The effects of amino acid insertions and deletions (InDels) remain a rather under-explored area of structural biology. These variations oftentimes are the cause of numerous disease phenotypes. In spite of this, research to study InDels and their structural significance remains limited, primarily due to a lack of experimental information and computational methods. In this work, we fill this gap by modeling InDels computationally; we investigate the rigidity differences between the wildtype and a mutant variant with one or more InDels. Further, we compare how structural effects due to InDels differ from the effects of amino acid substitutions, which are another type of amino acid mutation. We finish by performing a correlation analysis between our rigidity-based metrics and wet lab data for their ability to infer the effects of InDels on protein fitness.
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