We present G4-iM Grinder, a system for the localization, characterization and selection of potential G4s, i-Motifs and higher order structures. A robust and highly adaptable search engine identifies all structures that fit the user's quadruplex definitions. Their biological relevance, in vitro formation probability and presence of known-to-form structures are then used as filters. The outcome is an efficient methodology that helps select the best candidates for a subsequent in vitro analysis or a macroscopic genomic quadruplex assessment. As proof of the analytical capabilities of G4-iM Grinder, the human genome was analyzed for potential G4s and i-Motifs. Many known-to-form structures were identified. New candidates were selected considering their score and appearance frequency. We also focused on locating Potential Higher Order Quadruplex Sequences (PHOQS). We developed a new methodology to predict the most probable subunits of these assemblies and applied it to a PHOQS candidate. Taking the human average density as reference, we examined the genomes of several etiological causes of disease. This first of its class comparative study found many organisms to be very dense in these potential quadruplexes. Many presented already known-to-form-G4s and i-Motifs. These findings suggest the potential quadruplexes have as therapeutic targets for these diseases that currently kill millions worldwide.
© The Author(s) 2019. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics.