iRNA-m7G

iRNA-m7G predicts N7-methylguanosine (m7G) sites in human mRNA to enable computational identification of m7G modification locations in the human transcriptome.

Key Features:

• Feature fusion strategy: Integrates sequence- and structure-based features to improve prediction accuracy.
• Sequence-based features: Incorporates nucleotide property & frequency and pseudo dinucleotide composition.
• Structure-based features: Uses secondary structure composition as an input feature.
• Target scope: Designed specifically for identifying m7G sites within the human transcriptome.
• Validation: Evaluated using the jackknife test with a reported accuracy of 89.88%.
• Experimental complement: Serves as a computational alternative to experimental detection methods such as MeRIP-seq for candidate site prioritization.

Scientific Applications:

• m7G site identification: Predicts putative N7-methylguanosine modification sites in human mRNA sequences.
• Functional studies of mRNA regulation: Supports investigation of m7G roles in transcription, processing, and translation-related regulation of gene expression.
• Experimental prioritization: Prioritizes candidate m7G sites for downstream experimental validation using methods like MeRIP-seq.

Methodology:

Applies a feature fusion strategy combining sequence-based features (nucleotide property & frequency, pseudo dinucleotide composition) and structure-based features (secondary structure composition), with performance assessed by the jackknife test (89.88% accuracy reported).