Look at all the data that goes into protein folding.
看看所有进入蛋白质折叠【译注】的数据。
Protein Folding by Computer: How Far Have We Gone?
用计算机折叠蛋白质：我们走了多远?。
Forming protein folding is a complex evolutionary process.
蛋白质折叠是一个复杂的演化过程。
Our goal: to understand protein folding, misfolding, and related diseases.
项目目标：了解蛋白质折叠、误折以及相关的疾病。
By exhaustive enumeration, we get the prion-like behavior of protein folding.
通过穷举计算，我们观察到了这种折叠行为。
One way scientists try to understand protein folding is by simulating it on computers.
科学家试图理解蛋白质折叠的一种方式是通过在计算机上进行模拟。
The HP Lattice model is an important simplified model in research protein folding.
HP格点模型是研究蛋白质折叠的一种重要的简化模型。
But understanding the rules of protein folding remains one of biology's central problems.
但是弄清蛋白质折叠的规则一直是生物学的核心问题之一。
It is theoretically and practically significant to study the mechanism of protein folding.
研究蛋白质结构的形成机制具有重要的理论和现实意义。
Salesin thought so, too—in fact, he thought protein folding would make a terrific computer game.
Salesin也是这么想的——实际上，他认为蛋白质的折叠可以做成一个很棒的电脑游戏。
The mechanisms of protein folding and unfolding, is the important field of protein research.
蛋白质折叠和去折叠机制是蛋白质研究的重要领域。
We mainly introduce the background, model and importance of computer simulation for protein folding.
介绍了计算机模拟蛋白质折叠问题的背景、模型和意义。
Enumerating the allowed sequences for a given fold is known as the 'inverse protein folding problem'.
为一个给定的折叠列举允许的序列被称为逆蛋白质折叠问题。
That is because GPUs are well suited to the types of calculations involved when simulating protein folding.
这是因为模拟蛋白质折叠时所进行的计算，其类型能被图形处理器很好的适应。
The research of the nascent peptide folding is the key to resolve the problems of the protein folding.
新生肽链折叠的研究是解决目前蛋白质折叠研究中所遇到问题的关键。
The process of renaturation is established in the understanding to the mechanism of protein folding in vitro.
变复性实验是建立在对蛋白质体外折叠机制的了解的基础上。
This correlation suggests that RNA structure modulates ribosome elongation to promote native protein folding.
这些关联说明rna的结构调节核糖体的延伸来促使蛋白折叠。
Other projects soon followed, focused on everything from the search for large prime Numbers to protein folding.
其它项目也随之而来，从寻找最大的素数到蛋白质折叠分析。
In Chapter 5, the protein folding properties under the effect of secondary structural elements are investigated.
在第五章，我们研究了二级结构对蛋白质折叠属性的影响。
Protein folding and protein design has become one of the most actively studied problems in modern molecular biology.
蛋白质折叠和蛋白质设计的研究是当代分子生物学的热点问题，具有重要的科学意义。
The effects of molecular chaperones, protein aggregation and macromolecular crowding on protein folding have been studied.
研究了细胞内存在的分子伴侣、蛋白质聚集和大分子拥挤环境对蛋白质折叠的影响。
Recently studies on mechanism of oxidative protein folding and the role of molecular chaperones in protein quality control.
近年来深入研究蛋白质氧化折叠机制以及分子伴侣在蛋白质质量控制中的作用。
We study the rate of protein folding and binding at different temperature, different folding energy and different length of protein.
研究肽链长度对蛋白质折叠和结合速度的影响。
As such, calreticulin presumably does not alter protein folding but regulates proper timing for efficient folding and subunit assembly.
因此，推测钙网蛋白不会改变蛋白质的折叠，而是在恰当的时间点调节有效折叠和亚基组装。
On the basis of genetic algorithms for protein folding, a software system of protein folding simulation with lattice model is designed.
在模拟蛋白质折叠的遗传算法基础上，采用晶格模型，设计了一个用于蛋白质折叠模拟的软件系统，并举例说明该系统的用法。
Incorrect folding is believed to lead to a variety of diseases like Alzheimer's; therefore, the study of protein folding is of fundamental importance.
不正确的折叠会导致很多疾病，例如alzheimer病；因此，对于蛋白质折叠的研究非常重要。
Denovo protein design is not only the most rigorous check for our knowledge on protein folding, but also a significant way to get new information.
从理论上来说，蛋白质全新设计不仅是对蛋白质折叠知识进行最严格的检验，而且是进一步获取新知识的重要途径。
Studying protein folding is key to understanding several neurodegenerative diseases that are a result of the incorrect folding of certain protein strings.
学习蛋白质折叠式了解一些神经性能疾病的关键，而这些疾病则是由于某些蛋白质的折叠错误而产生的。
Due to the complexity of protein folding mechanism, simplified models are widely used to study the essential and general properties of protein folding up to date.
由于蛋白质折叠机制的复杂性，直到现在，在蛋白质折叠普遍性质的研究中简化模型仍被广泛地使用。
Due to the complexity of protein folding mechanism, simplified models are widely used to study the essential and general properties of protein folding up to date.
由于蛋白质折叠机制的复杂性，直到现在，在蛋白质折叠普遍性质的研究中简化模型仍被广泛地使用。
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