DrawTetrado to create layer diagrams of G4 structures

Author:

Zurkowski Michal1,Zok Tomasz1ORCID,Szachniuk Marta12ORCID

Affiliation:

1. Institute of Computing Science, Poznan University of Technology , 60-965 Poznan, Poland

2. Institute of Bioorganic Chemistry, Polish Academy of Sciences , 61-704 Poznan, Poland

Abstract

Abstract Motivation Quadruplexes are specific 3D structures found in nucleic acids. Due to the exceptional properties of these motifs, their exploration with the general-purpose bioinformatics methods can be problematic or insufficient. The same applies to visualizing their structure. A hand-drawn layer diagram is the most common way to represent the quadruplex anatomy. No molecular visualization software generates such a structural model based on atomic coordinates. Results DrawTetrado is an open-source Python program for automated visualization targeting the structures of quadruplexes and G4-helices. It generates static layer diagrams that represent structural data in a pseudo-3D perspective. The possibility to set color schemes, nucleotide labels, inter-element distances or angle of view allows for easy customization of the output drawing. Availability and implementation The program is available under the MIT license at https://github.com/RNApolis/drawtetrado.

Funder

Poznan University of Technology

National Science Centre

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference10 articles.

1. Varna: interactive drawing and editing of the RNA secondary structure;Darty;Bioinformatics,2009

2. Switching the type of V-loop in sugar-modified G-quadruplexes through altered fluorine interactions;Haase;Chem. Commun. (Camb.),2020

3. Structural motifs and intramolecular interactions in non-canonical G-quadruplexes;Jana;RSC Chem. Biol,2021

4. DSSR-enabled innovative schematics of 3D nucleic acid structures with PyMOL;Lu;Nucleic Acids Res,2020

5. How bioinformatics resources work with G4 RNAs;Miskiewicz;Brief Bioinform,2021

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