Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California, La Jolla, CA 92093, USA.
Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
Bioinformatics. 2022 Jun 13;38(12):3304-3305. doi: 10.1093/bioinformatics/btac317.
Mapping positional features from one-dimensional (1D) sequences onto three-dimensional (3D) structures of biological macromolecules is a powerful tool to show geometric patterns of biochemical annotations and provide a better understanding of the mechanisms underpinning protein and nucleic acid function at the atomic level.
We present a new library designed to display fully customizable interactive views between 1D positional features of protein and/or nucleic acid sequences and their 3D structures as isolated chains or components of macromolecular assemblies.
https://github.com/rcsb/rcsb-saguaro-3d.
Supplementary data are available at Bioinformatics online.
将一维(1D)序列中的位置特征映射到生物大分子的三维(3D)结构上,是展示生化注释的几何模式的有力工具,并提供了对蛋白质和核酸功能在原子水平上的机制的更好理解。
我们提出了一个新的库,旨在显示蛋白质和/或核酸序列的一维位置特征与其 3D 结构之间的完全可定制的交互式视图,这些 3D 结构可以是孤立的链或大分子组装体的组件。
https://github.com/rcsb/rcsb-saguaro-3d。
补充数据可在Bioinformatics 在线获得。