Dignon Gregory L, Zheng Wenwei, Mittal Jeetain
Department of Chemical and Biomolecular Engineering, Lehigh University, Bethlehem, PA, 18015, United States.
College of Integrative Sciences and Arts, Arizona State University, Mesa, AZ 85212.
Curr Opin Chem Eng. 2019 Mar;23:92-98. doi: 10.1016/j.coche.2019.03.004. Epub 2019 Apr 24.
Liquid-liquid phase separation of intrinsically disordered proteins (IDPs) and other biomolecules is a highly complex but robust process used by living systems. Drawing inspiration from biology, phase separating proteins have been successfully utilized for promising applications in fields of materials design and drug delivery. These protein-based materials are advantageous due to the ability to finely tune their stimulus-responsive phase behavior and material properties, and the ability to encode biologically active motifs directly into the sequence. The number of possible protein sequences is virtually endless, which makes sequence-based design a rather daunting task, but also attractive due to the amount of control coming from exploration of this variable space. The use of computational methods in this field of research have come to the aid in several aspects, including interpreting experimental results, identifying important structural features and molecular mechanisms capable of explaining the phase behavior, and ultimately providing predictive frameworks for rational design of protein sequences. Here we provide an overview of computational studies focused on phase separating biomolecules and the tools that are available to researchers interested in this topic.
内在无序蛋白质(IDP)和其他生物分子的液-液相分离是生命系统所采用的一个高度复杂但稳健的过程。受生物学启发,相分离蛋白已成功应用于材料设计和药物递送等领域,展现出广阔的应用前景。这些基于蛋白质的材料具有诸多优势,既能够精细调节其刺激响应相行为和材料特性,又能够将生物活性基序直接编码到序列中。可能的蛋白质序列数量几乎是无穷无尽的,这使得基于序列的设计成为一项相当艰巨的任务,但由于探索这个可变空间能带来大量的可控性,所以它也颇具吸引力。在这一研究领域,计算方法在多个方面发挥了作用,包括解释实验结果、识别能够解释相行为的重要结构特征和分子机制,以及最终为蛋白质序列的合理设计提供预测框架。在此,我们概述了专注于相分离生物分子的计算研究以及可供对该主题感兴趣的研究人员使用的工具。