G4-Attention: Deep Learning Model with Attention for predicting DNA G-Quadruplexes

arXiv:2403.02765v1 Announce Type: new
Abstract: G-Quadruplexes are the four-stranded non-canonical nucleic acid secondary structures, formed by the stacking arrangement of the guanine tetramers. They are involved in a wide range of biological roles because of their exceptionally unique and distinct structural characteristics. After the completion of the human genome sequencing project, a lot of bioinformatic algorithms were introduced to predict the active G4s regions \textit{in vitro} based on the canonical G4 sequence elements, G-\textit{richness}, and G-\textit{skewness}, as well as the …

abstract acid arxiv attention canonical cs.lg deep learning dna genome human q-bio.bm roles sequencing type