RNA Structure Prediction

Dear Colleagues,

The RNA structure is gaining more and more interest in biological research as researchers elucidate the tight connections between the functions and structures of non-coding RNAs and increasingly appreciate their versatile roles. Consequently, computational RNA structure prediction methods are receiving growing attention, since they fundamentally support biological research by enabling otherwise impracticable experiments in silico, mining huge amounts of bio-data and integrating computational models with experimental results. While considerable progress has been made, research on RNA structure prediction continues to be prolific and in high demand. Eventually, this will call for novel algorithms to deal with new scenarios and challenging open problems.

The Special Issue seeks original research contributions on novel computational methods and models in all areas of RNA structure prediction. Moreover, it welcomes applications of advanced RNA structure prediction methods to biological data. Thus, interesting topics comprise, but are not limited to, the following:

• Secondary structure prediction, e.g., considering additional aspects, like complex side conditions or 3D motifs
• The prediction of non-canonical interactions and 3D structures
• The prediction of pseudoknots and interactions with other RNAs or proteins
• Variations of RNA structure prediction and closely related problems
• Dynamics of structure formation
• Structure prediction integrating (and deconvoluting) experimental data
• Structure prediction utilizing other auxiliary (e.g., comparative) information

Dr. Sebastian Will
Guest Editor

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