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|Title:||Molywood: streamlining the design and rendering of molecular movies|
|Publisher:||Oxford University Press|
|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.|
|Note:||Versió postprint del document publicat a: https://doi.org/10.1093/bioinformatics/btaa584|
|It is part of:||Bioinformatics, 2020|
|Appears in Collections:||Articles publicats en revistes (Institut de Recerca Biomèdica (IRB Barcelona))|
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