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Oxford University Press, Bioinformatics, 3(40), 2024

DOI: 10.1093/bioinformatics/btae139

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Rapid generation of high-quality structure figures for publication with PyMOL-PUB

Journal article published in 2024 by Yuting Chen ORCID, Haoling Zhang ORCID, Wen Wang ORCID, Yue Shen ORCID, Zhi Ping ORCID
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

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.