Electrical and Computer Engineering, North Carolina State University, Raleigh, USA.
Plant and Microbial Biology, North Carolina State University, Raleigh, USA.
Curr Opin Plant Biol. 2020 Oct;57:8-15. doi: 10.1016/j.pbi.2020.05.006. Epub 2020 Jun 30.
Computational solutions enable plant scientists to model protein-mediated stress responses and characterize novel gene functions that coordinate responses to a variety of abiotic stress conditions. Recently, density functional theory was used to study proteins active sites and elucidate enzyme conversion mechanisms involved in iron deficiency responsive signaling pathways. Computational approaches for protein homology modeling and the kinetic modeling of signaling pathways have also resolved the identity and function in proteins involved in iron deficiency signaling pathways. Significant changes in gene relationships under other stress conditions, such as heat or drought stress, have been recently identified using differential network analysis, suggesting that stress tolerance is achieved through asynchronous control. Moreover, the increasing development and use of statistical modeling and systematic modeling of transcriptomic data have provided significant insight into the gene regulatory mechanisms associated with abiotic stress responses. These types of in silico approaches have facilitated the plant science community's future goals of developing multi-scale models of responses to iron deficiency stress and other abiotic stress conditions.
计算解决方案使植物科学家能够对蛋白质介导的应激反应进行建模，并对协调多种非生物胁迫条件下反应的新型基因功能进行特征描述。最近，密度泛函理论被用于研究蛋白质的活性位点，并阐明涉及缺铁响应信号通路的酶转化机制。蛋白质同源建模和信号通路的动力学建模的计算方法也解决了缺铁信号通路中涉及的蛋白质的身份和功能。最近，使用差异网络分析鉴定了其他胁迫条件（如热或干旱胁迫）下基因关系的显著变化，表明通过异步控制实现了胁迫耐受性。此外，统计建模和转录组数据的系统建模的不断发展和使用为与非生物胁迫反应相关的基因调控机制提供了重要的见解。这些类型的计算方法促进了植物科学界未来开发对缺铁胁迫和其他非生物胁迫条件的反应的多尺度模型的目标。
