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Abstract
Motivation High-quality dynamic visuals are needed at all levels of science communication, from the conference hall to the classroom. As scientific journals embrace new article formats, many key concepts – particularly in structural biology – are also more easily conveyed as videos than still frames. Notwithstanding, the design and rendering of a complex molecular movie remain an arduous task. Here, we introduce Molywood, a robust and intuitive tool that builds on the capabilities of VMD to automate all stages of movie rendering. Results Molywood is a Python-based script that uses an integrated workflow to give maximal flexibility in movie design. It implements the basic concepts of actions, layers, grids and concurrency and requires no programming experience to run. Availability The script is freely available on GitLab (gitlab.com/KomBioMol/molywood) and PyPI (through pip), and features an extended documentation, tutorial and gallery hosted on mmb.irbbarcelona.org/molywood.
Citations
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Authors (5)
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Adam Hospital
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Genis Bayarri
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Modesto Orozco
Cite as
Full text
- Publication version
- Accepted or Published Version
- License
- Copyright (2020 Oxford University Press)
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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BIOINFORMATICS
no. 36,
pages 4660 - 4661,
ISSN: 1367-4803 - Language:
- English
- Publication year:
- 2020
- Bibliographic description:
- Wieczór M., Hospital A., Bayarri G., Czub J., Orozco M.: Molywood: streamlining the design and rendering of molecular movies// BIOINFORMATICS -Vol. 36,iss. 17 (2020), s.4660-4661
- DOI:
- Digital Object Identifier (open in new tab) 10.1093/bioinformatics/btaa584
- Verified by:
- Gdańsk University of Technology
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