Data-mining unveils structure-property-activity correlation of viral infectivity enhancing self-assembling peptides.

ABSTRACT: Gene therapy via retroviral vectors holds great promise for treating a variety of serious diseases. It requires the use of additives to boost infectivity. Amyloid-like peptide nanofibers (PNFs) were shown to efficiently enhance retroviral gene transfer. However, the underlying mode of action of these peptides remains largely unknown. Data-mining is an efficient method to systematically study structure-function relationship and unveil patterns in a database. This data-mining study elucidates the multi-scale structure-property-activity relationship of transduction enhancing peptides for retroviral gene transfer. In contrast to previous reports, we find that not the amyloid fibrils themselves, but rather µm-sized β-sheet rich aggregates enhance infectivity. Specifically, microscopic aggregati

SUBMITTER: Kaygisiz K 

PROVIDER: S-EPMC10447463 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature