即使我们能抓住蛋白质折叠的规律，下一步就是通过分析数百万蛋白质和其它分子之间的相互作用，来预测细胞的结构。
Even if we could solve protein-folding, the next stage would be to predict the structure of cells on the basis of the interactions of millions of proteins and other molecules.
在悉尼的会议上，贺福初计划拿出未公布的蛋白质-蛋白质相互作用以及定位的相关数据进行讨论，他说：“这是真的，会对其他组织器官的综合性论证产生积极影响。”
At the Sydney meeting, He plans to discuss unpublished work that maps protein–protein interactions and their localization. "It's a real, comprehensive demonstration for other organs," he says.
多糖与蛋白质相互作用并促进蛋白质的聚合和支架形成。
The polysaccharides interact with proteins and help the proteins come together and assemble scaffolds.
由于蛋白质和RNA分子结合方式的复杂性，局限了蛋白质和RNA相互作用的研究。
It is just the complexity of binding mode between proteins and RNA that limited the study of the interaction between them.
为了充分理解蛋白质在细胞中的功能，建立蛋白质如何与其它细胞组分相互作用的三维结构将会很有帮助。
To fully appreciate how proteins function in a cell, it is helpful to have a three-dimensional view of how proteins interact with other cellular components.
我们发现人蛋白相互作用网络比黑腹果蝇的蛋白质相互作用组规模大一个数量级，比秀丽隐杆线虫的蛋白质相互作用组规模大3倍。
We find that the human interaction network is one order of magnitude bigger than the Drosophila melanogaster interactome and 3 times bigger than in Caenorhabditis elegans.
信号转导通路是非线性排列的，许多信号转导通路可以通过一系列的蛋白质与蛋白质相互作用形成一个网络。
Among them, the most complex one is the signal transduction. These paths are organized non-linearly, and they can form a network through a series of protein interactions.
研究蛋白质与相应配体分子复合物的结构及配体与蛋白质的相互作用对阐明蛋白质的结构、功能、作用机制和药物设计具有重要的指导意义。
The complex structure of protein and its ligand is important for clarifying the function and action mechanisms of protein and useful for drug design.
蛋白质相互作用位点的识别对于突变设计和预测蛋白质相互作用的网络是非常重要的。
Identification of protein-protein interaction sites is essential for the mutant design and prediction of protein-protein networks.
氨基酸是蛋白质的构成单元，它在金属表面的吸附为研究蛋白质同金属相互作用奠定了基础。
Amino acid is the building block of protein and its adsorption on the surface of metal provides the model for the study of the interaction of protein with metal.
蛋白质组学是旨在研究蛋白质表达谱和蛋白质与蛋白质之间相互作用的新领域，其研究必须依赖高通量、高自动化的技术。
Proteomics is a new field to research protein expression profiling and the protein-protein interaction. It must depend on high flux and high roboticized techniques.
为此，文章对蛋白芯片的主要原理和类型以及近几年蛋白芯片在蛋白质组学中的应用，尤其是在蛋白表达谱图和蛋白质相互作用谱图中的应用进行了综述。
This review briefly introduces the main theory and types of the protein microarray, and then sum up their applications in the expression profiling and the interaction profiling of proteins.
从分子机制上阐明蛋白质-蛋白质相互作用是了解细胞动力学和可塑性的基础。
Molecular elucidation of protein-protein interaction is essential for understanding the cellular dynamics and plasticity.
蛋白质与蛋白质间相互作用的准确预测是计算分子生物学领域的重要研究内容。
The prediction of protein interaction is one of the most important issues in post-genomic era.
蛋白质相互作用位点的预测对于突变设计和蛋白质相互作用网络的重构都是至关重要的。
Prediction of protein-protein interaction sites is essential for mutant design and reconstruction of protein-protein interaction networks.
依据无标度网络的相关理论，提出一种预测蛋白质-蛋白质相互作用的算法，并预测潜在的作用位点。
Proteins potentially associated with the pathology of Alzheimers disease were gathered into our database, and were then mapped into a protein interaction network.
经体外蛋白质—蛋白质之间的相互作用和蛋白质印迹杂交方法进一步验证了PBP1和BNP23的相互作用；
In vitro the interaction between BNP23 and PBP1 was ascertained by means of the protein-protein interaction and western blotting.
对蛋白质—蛋白质相互作用的研究将有助于蛋白质功能的分析、生命活动的理解和有效药物的开发等众多问题的解决。
The studies of protein-protein interactions will facilitate the analysis of protein functions, the understanding of life activities and pharmaceutical design.
因此，如果能够快速做出蛋白质在不同时间、空间和不同环境中的相互作用图谱，就会帮助我们了解这些蛋白质的功能，进而了解许多生命活动的机制。
Therefore if one could instantly map these interacting molecules in space time and milieu then one would be able to understand the function of proteins.
介绍了蛋白质与蛋白质相互作用的研究方法及进展，包括已经应用的标准技术、物理学方法、最新进展及其他方法。
This article introduces the methods and headways in protein-protein interactions, including standard technologies, biophysical approaches, recent development and other tools.
蛋白质的功能往往体现在与其他蛋白质或其它的生物大分子之间的相互作用中。
Usually, the functions of proteins behave themselves as the interactions with other proteins and biomacromolecules.
蛋白质组学是研究蛋白质的表达、翻译后修饰、在细胞内定位以及蛋白质与蛋白质之间的相互作用的科学。
Proteomics is a subject that aims to study the expression, translation and location of proteins, the relationship between proteins and proteins as well.
提出将多分类器组合算法应用于蛋白质-蛋白质相互作用位点预测。
The methods of multiple classifiers combination are proposed to classify protein-protein interaction sites.
大多数有效的药物靶点能够通过蛋白质相互作用网络分析，在大量非同源蛋白质间识别。
Most potent drug target can be identifying among large number of non-homologous protein through protein interaction network analysis.
研究开发高效、准确的自由能运算方法用来研究蛋白质折叠、蛋白质与配体之间的相互作用，以及一些相关疾病。
Developing accurate and efficient free-energy algorithms and applying them in structural biology to study protein folding, protein-ligand interactions and the related diseases.
这种具有两个不同而又相互作用位置的蛋白质叫做变构蛋白质。
Proteins which have two separate but interacting sites are called allosteric proteins.
尽管如此，近年来人们还是发现了许多能调控蛋白质-蛋白质相互作用的小分子。
However many small molecules which can modulate the protein-protein interactions have been discovered in the recent years.
蛋白质-蛋白质相互作用数据库因此正在成为研究生物网络和通路的一种主要资源。
Protein-protein interaction databases are thus becoming a major resource for investigating biological networks and pathways.
蛋白质-蛋白质相互作用在多种细胞功能中具有重要的作用。
Protein-protein interactions play a crucial role in numerous vital cell functions.
研究蛋白质-蛋白质相互作用，由本地和变性凝胶电泳免疫印迹，免疫沉淀。
Study protein-protein interaction by native and denaturing gel electrophoresis, western blotting, and immunology precipitation.
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