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MONA SINGH

Sequence-based methods for coiled coil recognition, with applications to studying viral membrane fusion proteins

Progress: Previously, we devised an iterative algorithm that uses randomness and statistical techniques to improve existing methods for recognizing protein structural motifs. Our algorithm was tested on the domain of three-stranded coiled coils and subclasses of two-stranded coiled coils. During the initial development of our iterative method, we identified two coiled coil-like regions in the HIV membrane fusion protein that no previous program identified. In fact, in the Kim Lab, crystallographic studies of HIV have demonstrated that these two coiled coil-like motifs interact with each other to form what may be a new motif that plays a critical role in membrane fusion.

Using our iterative method, we have newly identified coiled coil-like regions in many retrovirus, paramyxovirus and filovirus membrane fusion proteins. Additionally, sequence analyses of these proteins outside their putative coiled-coil domains illustrate some structural differences between them. Complementing previous crystallographic studies, our findings provide further evidence that the 3-stranded coiled coil is a common motif found in many diverse viral membrane-fusion proteins. The abundance and structural conservation of this motif, even in the absence of sequence homology, suggests that it is critical for viral-cellular membrane fusion. Several of our predictions have very recently been experimentally verified, including those for Ebola virus, visna virus and human T-cell leukemia virus.

 
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