RNA-ModX: a multilabel prediction and interpretation framework for RNA modifications.

ABSTRACT: Accurate prediction of RNA modifications holds profound implications for elucidating RNA function and mechanism, with potential applications in drug development. Here, the RNA-ModX presents a highly precise predictive model designed to forecast post-transcriptional RNA modifications, complemented by a user-friendly web application tailored for seamless utilization by future researchers. To achieve exceptional accuracy, the RNA-ModX systematically explored a range of machine learning models, including Long Short-Term Memory (LSTM), Gated Recurrent Unit, and Transformer-based architectures. The model underwent rigorous testing using a dataset comprising RNA sequences containing the four fundamental nucleotides (A, C, G, U) and spanning 12 prevalent modification classes (m6A, m1A, m5C, m5U, m

SUBMITTER: Yuge CC 

PROVIDER: S-EPMC11684893 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature