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ABSTRACT: Motivation
The advancement of structural biology has increased the requirements for researchers to quickly and efficiently visualize molecular structures in silico. Meanwhile, it is also time-consuming for structural biologists to create publication-standard figures, as no useful tools can directly generate figures from structure data. Although manual editing can ensure that figures meet the standards required for publication, it requires a deep understanding of software operations and/or program call commands. Therefore, providing interfaces based on established software instead of manual editing becomes a significant necessity.Results
We developed PyMOL-PUB, based on the original design of PyMOL, to effectively create publication-quality figures from molecular structure data. It provides functions including structural alignment methods, functional coloring schemes, conformation adjustments, and layout plotting strategies. These functions allow users to easily generate high-quality figures, demonstrate structural differences, illustrate inter-molecular interactions, and predict performances of biomacromolecules.Availability and implementation
Our tool is publicly available at https://github.com/BGI-SynBio/PyMOL-PUB.
SUBMITTER: Chen Y
PROVIDER: S-EPMC10950480 | biostudies-literature | 2024 Mar
REPOSITORIES: biostudies-literature
Chen Yuting Y Zhang Haoling H Wang Wen W Shen Yue Y Ping Zhi Z
Bioinformatics (Oxford, England) 20240301 3
<h4>Motivation</h4>The advancement of structural biology has increased the requirements for researchers to quickly and efficiently visualize molecular structures in silico. Meanwhile, it is also time-consuming for structural biologists to create publication-standard figures, as no useful tools can directly generate figures from structure data. Although manual editing can ensure that figures meet the standards required for publication, it requires a deep understanding of software operations and/o ...[more]