College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
BGI Research, Shenzhen 518083, China.
Bioinformatics. 2024 Mar 4;40(3). doi: 10.1093/bioinformatics/btae139.
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.
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.
Our tool is publicly available at https://github.com/BGI-SynBio/PyMOL-PUB.
结构生物学的发展提高了研究人员快速高效地在计算机上可视化分子结构的要求。同时,结构生物学家创建符合出版标准的图也很耗时,因为没有有用的工具可以直接从结构数据生成图。虽然手动编辑可以确保图符合出版要求,但这需要对软件操作和/或程序调用命令有深入的了解。因此,提供基于已建立软件的接口而不是手动编辑成为一个重要的需求。
我们基于 PyMOL 的原始设计开发了 PyMOL-PUB,以有效地从分子结构数据创建出版质量的图。它提供了结构对齐方法、功能着色方案、构象调整和布局绘图策略等功能。这些功能使用户可以轻松生成高质量的图,演示结构差异,说明分子间相互作用,并预测生物大分子的性能。
我们的工具可在 https://github.com/BGI-SynBio/PyMOL-PUB 上公开获取。