Department of Biochemical Sciences "A. Rossi Fanelli", Sapienza Università di Roma, 00185 Rome, Italy.
Biomolecules. 2022 Nov 27;12(12):1764. doi: 10.3390/biom12121764.
Over the past few decades, the number of available structural bioinformatics pipelines, libraries, plugins, web resources and software has increased exponentially and become accessible to the broad realm of life scientists. This expansion has shaped the field as a tangled network of methods, algorithms and user interfaces. In recent years PyMOL, widely used software for biomolecules visualization and analysis, has started to play a key role in providing an open platform for the successful implementation of expert knowledge into an easy-to-use molecular graphics tool. This review outlines the plugins and features that make PyMOL an eligible environment for supporting structural bioinformatics analyses.
在过去的几十年中，可用的结构生物信息学管道、库、插件、网络资源和软件的数量呈指数级增长，并且已经普及到生命科学领域。这种扩展将该领域塑造为一个方法、算法和用户界面交织的复杂网络。近年来，PyMOL 作为一种广泛用于生物分子可视化和分析的软件，已经开始在为成功将专家知识实施到易于使用的分子图形工具中提供一个开放平台方面发挥关键作用。本文综述了使 PyMOL 成为支持结构生物信息学分析的合适环境的插件和功能。
