RNA2Drawer: geometrically strict drawing of nucleic acid structures with graphical structure editing and highlighting of complementary subsequences.
RNA Biol
; 16(12): 1667-1671, 2019 12.
Article
in En
| MEDLINE
| ID: mdl-31441369
RNA structure prediction programs remain imperfect and many substructures are still identified by manual exploration, which is most efficiently conducted within an RNA structure drawing program. However, most nucleic acid structure drawing programs have limited capability for structure modification (i.e., breaking and forming new bonds between bases), often requiring that the structure notation be textually edited. RNA2Drawer was developed to allow for graphical structure editing while maintaining the geometry of a drawing (e.g., ellipsoid loops, stems with evenly stacked base pairs) throughout structural changes and manual adjustments to the layout by the user. In addition, the program allows for annotations such as colouring and circling of bases and drawing of tertiary interactions (e.g., pseudoknots). RNA2Drawer can also draw commonly desired elements such as an optionally flattened outermost loop and assists structure editing by automatically highlighting complementary subsequences, which facilitates the discovery of potentially new and alternative pairings, particularly tertiary pairings over long-distances, which are biologically critical in the genomes of many RNA viruses and cannot be accurately predicted by current structure prediction programs. Additionally, RNA2Drawer outputs drawings either as PNG files, or as PPTX and SVG files, such that every object of a drawing (e.g., bases, bonds) is an individual PPTX or SVG object, allowing for further manipulation in Microsoft PowerPoint or a vector graphics editor such as Adobe Illustrator. PowerPoint is the standard for presentations and is often used to create figures for publications, and RNA2Drawer is the first program to export drawings as PPTX files.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Algorithms
/
Software
/
RNA
Limits:
Animals
/
Humans
Language:
En
Journal:
RNA Biol
Journal subject:
BIOLOGIA MOLECULAR
Year:
2019
Type:
Article
Affiliation country:
United States