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Call for papers - Prediction and modelling of RNA structure and interactions

Guest Editors

Anže Božič, PhD, Department of Theoretical Physics, Jožef Stefan Institute, Slovenia
Letizia Chiodo, PhD, Università Campus Bio-Medico di Roma, Italy
Luca Tesei, PhD, University of Camerino, Italy

Submission Status: Open   |   Submission Deadline: 31 July 2024


BMC Bioinformatics is calling for submissions to our Collection on “Prediction and modelling of RNA structure and interactions”. 

This Collection welcomes submissions on novel algorithms, computational methods and tools on the topics of classification, analysis, comparison and evolution of RNA molecules , approaches to RNA structure (inverse) prediction —both at the level of secondary and tertiary structure— and study of RNA interactions with other biological or synthetic molecules. Focus on particular classes of RNAs, such as ribosomal RNA, long non-coding RNAs and viral genomes, is welcome.

Meet the Guest Editors

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Anže Božič, PhD, Department of Theoretical Physics, Jožef Stefan Institute, Slovenia

Anže Božič is a research associate in the Department of Theoretical Physics at Jožef Stefan Institute in Ljubljana, Slovenia. His main research interests cover various topics in physical virology, the structure and topology of RNA, role of electrostatic interactions in biological and soft matter systems, and classification of order and order transitions in particle assemblies in spherical geometry.
 

Letizia Chiodo, PhD, Università Campus Bio-Medico di Roma, Italy

Letizia Chiodo is an Associate Professor in Condensed Matter Theoretical Physics. She investigates the physical and chemical properties of inorganic materials and organic systems using advanced theoretical and computational atomistic methods. She is a member of the European
Theoretical Spectroscopy Facility (ETSF). She is especially interested in the structural and functional properties of lncRNAs and their interaction with proteins to understand their physiological role and their relationship with the onset of diseases.  

Luca Tesei, PhD, University of Camerino, Italy

Luca Tesei, Ph.D., is an Associate Professor in Computer Science at the School of Sciences and Technology, University of Camerino, Italy. His research interests include Bioinformatics, Theoretical Computer Science and Computational Systems Biology. In the last five years, his focus has been in structural representation and comparison of non-coding RNA. Furthermore, he serves as an Editorial Board member in BMC Bioinformatics.

About the Collection

BMC Bioinformatics is calling for submissions to our Collection on “Prediction and modelling of RNA structure and interactions”. 

This Collection welcomes submissions on novel algorithms, computational methods and tools on the topics of classification, analysis, comparison and evolution of RNA molecules , approaches to RNA structure (inverse) prediction —both at the level of secondary and tertiary structure— and study of RNA interactions with other biological or synthetic molecules. Focus on particular classes of RNAs, such as ribosomal RNA, long non-coding RNAs and viral genomes, is welcome.
 

Image credit: [M] Artur / stock.adobe.com

  1. Many biological studies have shown that lncRNAs regulate the expression of epigenetically related genes. The study of lncRNAs has helped to deepen our understanding of the pathogenesis of complex diseases at t...

    Authors: Dengju Yao, Yuexiao Deng, Xiaojuan Zhan and Xiaorong Zhan
    Citation: BMC Bioinformatics 2024 25:46

Submission Guidelines

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This Collection welcomes submission of original Research Articles, Software and Database articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select ''Prediction and Modelling of RNA structure and interactions'' from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.