Computational limitations and future needs to unravel the full potential of 2'-O-methylation and C/D box snoRNAs.

Abstract

This review evaluates the current state of C/D snoRNA databases and prediction tools in relation to 2'-O-methylation (2'-O-Me). It highlights the limitations of existing resources in accurately annotating and predicting guide snoRNAs, particularly for newly identified 2'-O-Me sites. We emphasize the need for advanced computational approaches specifically tailored to 2'-O-Me to enable the discovery and functional analysis of snoRNAs. Given the growing importance of 2'-O-Me in areas such as cancer epitranscriptomics, ribosome biogenesis, and heterogeneity, existing tools remain inadequate. As 2'-O-Me gains recognition as a potential biomarker and therapeutic target, more sophisticated methods are urgently needed to improve snoRNA annotation and prediction, facilitating biomedical advancements.