m7GHub

m7GHub provides a centralized resource of experimentally validated internal N7-methylguanosine (m7G) sites in messenger RNA (mRNA) and computational tools to predict site occurrence and assess impacts of genetic mutations for studies of mRNA regulation and disease.

Key Features:

• Internal mRNA m7G Database: Contains over 44,058 experimentally validated internal mRNA m7G sites across mammalian transcriptomes.
• High-accuracy predictor: Uses sequence-based algorithms to predict the presence of internal m7G sites.
• Mutation impact assessment web server: Evaluates how genetic mutations may influence internal m7G status.
• Disease-associated genetic mutations database: Records 1,218 disease-associated genetic mutations that may affect m7G regulation.

Scientific Applications:

• Study of mRNA regulation: Enables investigation of how internal m7G modifications influence gene expression regulation.
• RNA stability and translation: Supports analyses of potential effects of internal m7G on RNA stability and translation efficiency.
• Disease mechanism investigation: Facilitates exploration of links between alterations in m7G methylation and disease-associated mutations.

Methodology:

The resource integrates experimentally validated site data with computational tools; predictive algorithms are based on sequence analysis, and the mutation impact assessment applies bioinformatics approaches to predict how genetic variants might alter m7G status.