Indian Institute of Science Education and Research Pune, Pashan, Pune, India.
Methods Mol Biol. 2021;2305:53-80. doi: 10.1007/978-1-0716-1406-8_3.
Biological processes are often mediated by complexes formed between proteins and various biomolecules. The 3D structures of such protein-biomolecule complexes provide insights into the molecular mechanism of their action. The structure of these complexes can be predicted by various computational methods. Choosing an appropriate method for modelling depends on the category of biomolecule that a protein interacts with and the availability of structural information about the protein and its interacting partner. We intend for the contents of this chapter to serve as a guide as to what software would be the most appropriate for the type of data at hand and the kind of 3D complex structure required. Particularly, we have dealt with protein-small molecule ligand, protein-peptide, protein-protein, and protein-nucleic acid interactions.Most, if not all, model building protocols perform some sampling and scoring. Typically, several alternate conformations and configurations of the interactors are sampled. Each such sample is then scored for optimization. To boost the confidence in these predicted models, their assessment using other independent scoring schemes besides the inbuilt/default ones would prove to be helpful. This chapter also lists such software and serves as a guide to gauge the fidelity of modelled structures of biomolecular complexes.
生物过程通常是由蛋白质和各种生物分子之间形成的复合物介导的。这些蛋白质-生物分子复合物的 3D 结构为它们作用的分子机制提供了深入的了解。这些复合物的结构可以通过各种计算方法进行预测。选择合适的建模方法取决于蛋白质相互作用的生物分子类别,以及蛋白质及其相互作用伙伴的结构信息的可用性。我们希望本章的内容可以作为一个指南,说明哪种软件最适合手头的数据类型和所需的 3D 复合物结构。特别是,我们已经处理了蛋白质-小分子配体、蛋白质-肽、蛋白质-蛋白质和蛋白质-核酸相互作用。如果不是所有的建模协议,那么大多数协议都会进行一些采样和评分。通常,会对相互作用体的几个替代构象和构型进行采样。然后,对每个这样的样本进行优化评分。为了提高对这些预测模型的信心,使用内置/默认评分方案以外的其他独立评分方案对其进行评估将是有帮助的。本章还列出了这些软件,并作为评估生物分子复合物建模结构保真度的指南。