Department of Medicine and Life Sciences, SBI-GRIB, Universitat Pompeu Fabra, 08003 Barcelona, Catalonia, Spain.
Department of Medical Genetics, Centre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, University of British Columbia, Vancouver, BC V5Z 4H4, Canada.
Bioinformatics. 2023 Oct 3;39(10). doi: 10.1093/bioinformatics/btad613.
The SBILib Python library provides an integrated platform for the analysis of macromolecular structures and interactions. It combines simple 3D file parsing and workup methods with more advanced analytical tools. SBILib includes modules for macromolecular interactions, loops, super-secondary structures, and biological sequences, as well as wrappers for external tools with which to integrate their results and facilitate the comparative analysis of protein structures and their complexes. The library can handle macromolecular complexes formed by proteins and/or nucleic acid molecules (i.e. DNA and RNA). It is uniquely capable of parsing and calculating protein super-secondary structure and loop geometry. We have compiled a list of example scenarios which SBILib may be applied to and provided access to these within the library.
SBILib is made available on Github at https://github.com/structuralbioinformatics/SBILib.
SBILib Python 库为大分子结构和相互作用的分析提供了一个集成的平台。它将简单的 3D 文件解析和处理方法与更高级的分析工具结合在一起。SBILib 包括用于大分子相互作用、环、超二级结构和生物序列的模块，以及用于整合外部工具结果并促进蛋白质结构及其复合物的比较分析的包装器。该库可以处理由蛋白质和/或核酸分子（即 DNA 和 RNA）形成的大分子复合物。它具有独特的解析和计算蛋白质超二级结构和环几何形状的能力。我们已经编制了一份 SBILib 可能应用的示例场景列表，并在库中提供了对这些场景的访问。
SBILib 可在 Github 上获得，网址为 https://github.com/structuralbioinformatics/SBILib。
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