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About this Research Topic

Manuscript Submission Deadline 17 September 2023

RNAs are involved in a wide range of functions, from acting as messengers (mRNA) between DNA and protein to acting as gene regulators (e.g., riboswitch, miRNA, etc.) in important cellular processes.

Most RNA-based responses to stress or disease are centered, in addition to the canonical quantitative and up/down-type changes in their expression levels, to reversible and qualitative modification of specific nucleotides. These modifications are promoted by a set of specialized proteins with opposing roles, the Writers, which add specific chemical groups to certain nucleotides in specific sequences, and the Erasers, which remove the modifications.

Functionally, post-transcriptional modifications (PTMs) of RNA molecules represent a second layer of information which conveys subtle, transient, location-dependent cues modulating the RNA message. More recently, PTMs found in circulating extracellular RNAs, are seen as promising markers in an ever-increasing number of cancers. However, it still remains challenging to evaluate how PTMs affect RNA folding and functions. In this aspect, molecular dynamics (MD) simulations and other computational tools emerged as important tools to study PTMs of RNA.

The objective of this Research Topic is to assemble up-to-date research articles on computational studies on PTMs of RNA, accompanied by experimental validation where appropriate. We hope to highlight the advances in employing computational studies in conjunction with experimental techniques to interrogate how PTMs affect RNA structures and functions.

We would like you to contribute relevant papers, including Original Research, Methods, and Review. The scope of this Research Topic includes, but is not limited to, the following important aspects:

• Computational study of RNA foldings and functions with molecular dynamics simulation
• Computational study of how post-transcriptional modifications affect RNA folding
• New algorithms to design post-transcriptional modifications in RNA.
• Experimental methods to identify post-transcriptional modifications in RNA.

Keywords: RNA folding, RNA dynamics, Post-transcriptional modifications, Molecular dynamics, Machine Learning


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

RNAs are involved in a wide range of functions, from acting as messengers (mRNA) between DNA and protein to acting as gene regulators (e.g., riboswitch, miRNA, etc.) in important cellular processes.

Most RNA-based responses to stress or disease are centered, in addition to the canonical quantitative and up/down-type changes in their expression levels, to reversible and qualitative modification of specific nucleotides. These modifications are promoted by a set of specialized proteins with opposing roles, the Writers, which add specific chemical groups to certain nucleotides in specific sequences, and the Erasers, which remove the modifications.

Functionally, post-transcriptional modifications (PTMs) of RNA molecules represent a second layer of information which conveys subtle, transient, location-dependent cues modulating the RNA message. More recently, PTMs found in circulating extracellular RNAs, are seen as promising markers in an ever-increasing number of cancers. However, it still remains challenging to evaluate how PTMs affect RNA folding and functions. In this aspect, molecular dynamics (MD) simulations and other computational tools emerged as important tools to study PTMs of RNA.

The objective of this Research Topic is to assemble up-to-date research articles on computational studies on PTMs of RNA, accompanied by experimental validation where appropriate. We hope to highlight the advances in employing computational studies in conjunction with experimental techniques to interrogate how PTMs affect RNA structures and functions.

We would like you to contribute relevant papers, including Original Research, Methods, and Review. The scope of this Research Topic includes, but is not limited to, the following important aspects:

• Computational study of RNA foldings and functions with molecular dynamics simulation
• Computational study of how post-transcriptional modifications affect RNA folding
• New algorithms to design post-transcriptional modifications in RNA.
• Experimental methods to identify post-transcriptional modifications in RNA.

Keywords: RNA folding, RNA dynamics, Post-transcriptional modifications, Molecular dynamics, Machine Learning


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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