ArticleBioinformatics (Oxford, England)2020
Molywood: streamlining the design and rendering of molecular movies.
Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- Molecular stripping underpins derepression of a toxin-antitoxin system.Nature structural & molecular biology · 2024Article
- Dual function of OmpM as outer membrane tether and nutrient uptake channel in diderm Firmicutes.Nature communications · 2023Article
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- Omicron mutations increase interdomain interactions and reduce epitope exposure in the SARS-CoV-2 spike.iScience · 2023Article
- Targeting DNA Topoisomerase II in Antifungal Chemotherapy.Molecules (Basel, Switzerland) · 2022Review
- MiOS, an integrated imaging and computational strategy to model gene folding with nucleosome resolution.Nature structural & molecular biology · 2022Article
- Glycosylation is key for enhancing drug recognition into spike glycoprotein of SARS-CoV-2.Computational biology and chemistry · 2022Article
- Insights into substrate behavior in a solvent-free protein liquid to rationalize its reduced catalytic rate.RSC advances · 2022Article
- Molecular mechanism of proton-coupled ligand translocation by the bacterial efflux pump EmrE.PLoS computational biology · 2021Article
- Effective Drug Concentration and Selectivity Depends on Fraction of Primitive Cells.International journal of molecular sciences · 2021Article
- 3dRS, a Web-Based Tool to Share Interactive Representations of 3D Biomolecular Structures and Molecular Dynamics Trajectories.Frontiers in molecular biosciences · 2021Article
- Simulating PIPFrontiers in molecular biosciences · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
motivationHigh-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 Visual Molecular Dynamics (VMD) to automate all stages of movie rendering.
resultsMolywood 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 AND IMPLEMENTATION: 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.