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A quantitative approach relating emergent features of complex traits to protein expression
Progress in Biophysics and Molecular Biology ( IF 3.8 ) Pub Date : 2020-10-06 , DOI: 10.1016/j.pbiomolbio.2020.10.002
Lars H Wegner 1 , Zhifeng Hao 2
Affiliation  

Linking complex, multigenic traits to protein activity is an important challenge in current biology, including applications in the medical sciences, agriculture, or forestry. Two simple algorithms are presented here to establish that link. The first one describes synergistic interactions of n proteins in shaping a complex trait (‘weak emergence’) as opposed to a simply additive ‘modular’ contribution of these proteins. A coefficient κ is defined that allows to quantify the degree of emergent interaction. For cases of strong emergence a separate formalism is introduced, implying that a number of n proteins at concentrations exceeding individual threshold values are required to spontaneously form a new, complex trait. Threshold concentrations are allowed to vary, depending on the concentrations of the other constitutive proteins. The experimental effort is estimated to provide a corresponding database for applying both formalisms, including high-throughput phenomics, and manipulation of protein concentrations using the molecular toolbox. Future efforts will be directed to overcome current limitations of the models that ignore the dynamics of protein-trait relationships with time, and the importance of the spatial arrangement of proteins for emergent interaction.



中文翻译:

一种将复杂性状的突现特征与蛋白质表达联系起来的定量方法

将复杂的多基因特征与蛋白质活性联系起来是当前生物学的一个重要挑战,包括在医学、农业或林业中的应用。这里提供了两个简单的算法来建立该链接。第一个描述了 n 蛋白质在塑造复杂性状(“弱出现”)方面的协同相互作用,而不是这些蛋白质的简单附加“模块化”贡献。定义了一个系数κ,它允许量化紧急交互的程度。对于强出现的情况,引入了单独的形式主义,这意味着需要许多浓度超过个体阈值的 n 蛋白质才能自发地形成新的复杂性状。允许阈值浓度变化,这取决于其他组成蛋白的浓度。估计实验工作为应用两种形式主义提供了相应的数据库,包括高通量表型组学和使用分子工具箱操纵蛋白质浓度。未来的努力将致力于克服模型的当前局限性,这些局限性忽略了蛋白质-性状关系随时间的动态变化,以及蛋白质空间排列对紧急相互作用的重要性。

更新日期:2020-10-06
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