conclusion: high expression of scf-tpo fusion protein has been obtained and protein prediction shows that the fusion protein design is reasonable, which lay foundation for further study of biological fundation of scf-tpo fusion protein.

understanding this mechanism would greatly accelerate our study on the protein self-assembling, and moreover, be helpful to protein design and to the treatment of various diseases relevant to protein misfolding ( such as mad cow disease and alzheimer disease).

了解该机制将加深我们对蛋白质自组装过程的认识，进而为治疗各种蛋白质折叠病（如疯牛病和老年痴呆症）提供帮助，为蛋白质分子设计提供指导。

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research of protein folding becomes the core subject related to protein design and molecular biology.

蛋白质折叠相关研究对蛋白质设计、疾病成因等方面研究有决定作用，已经成为众多相关学科研究中的核心问题。

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it plays a very important role in gene discovery, genetic diagnosis of diseases, prediction of protein structure, drug design based on molecular structure, drug synthesis and pharmaceutical industry. the application of bioinformatics has greatly quickened the speed of drug exploitation.

生物信息学在基因发现、疾病基因诊断、蛋白质结构预测、基于结构的药物设计、药物合成和制药工业中起着极其重要的作用，生物信息学的应用大大加快了药物的研究开发进程。

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alternatively, investigators might analyze the three-dimensional structure of a protein domain and then design drugs that bind tightly to that region.

或者，研究人员也可以分析某个蛋白质区间的立体构造，设计出与该区间紧密结合的药物。

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theoretical study of protein folding and protein design based on the relative entropy and complex network methods

基于相对熵和复杂网络方法的蛋白质折叠与设计理论研究

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methods: the protein molecule design included truncation at n_terminal, replacement of basic amino acid and reduction of the number of cysteine.

方法：分子改造包括以下内容：分子截短，突变碱性氨基酸，减少半胱氨酸的数目等。

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study of linear neutralizing epitopes of hepatitis e virus capsid protein and design and construction of epitope-based vaccine

戊型肝炎病毒衣壳蛋白的线性中和性表位的研究及其一种表位疫苗的设计与构建

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we introduced local interaction optimization in protein functional design, which is to optimize every local interaction between the protein and the ligand.

我们这里采取另外一种策略，即优化蛋白质和小分子之间的每个局部相互作用。

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it is an important issue in protein functional design.

特异性界面的设计是蛋白质功能性设计的主要问题之一。

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in order to overcome the difficulty of applying dual monte carlo method to the bigger molecule system and off-lattice model, a simple new method of protein design based on relative entropy is proposed.

为了克服双重蒙特卡罗方法用于较大分子体系及非格子模型的困难，提出了一个基于相对熵的蛋白质设计的简单方法。

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structural bioinformatics based rational protein design will play important role in biological research and development of protein therapeutics in the post genome era.

利用结构生物信息学方法进行蛋白质的理性设计，将会在后基因组时代的生物学研究和蛋白药物开发中起到越来越重要的作用。

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engineering novel small functional proteins by grafting active sites into small but stable proteins is an efficient protein design method.

将一个蛋白质的活性位点，嫁接到另一个分子量较小但是稳定的蛋白质（骨架蛋白）上，从而形成一种新的功能蛋白质，这是蛋白质设计中一种很有效的方法。

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structure prediction and protein design are closely related.

蛋白质设计和蛋白质结构预测是紧密相关的。

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structural bioinformatics based protein design

基于结构生物信息学的蛋白质设计

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simulation of adaptive algorithm mdac for controlled hypotension

MDAC自适应算法用于控制低血压过程的仿真研究

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computer simulation of variable step-size fast adaptive algorithm for suppressing narrowband interference in ds-ss system

直扩系统中变步长快速自适应干扰抑制算法仿真分析

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an adaptive algorithm for triangulation of trimmed surface

一种裁剪曲面自适应三角剖分算法

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the almost sure exponential convergence for nlms adaptive algorithm

NLMS适应算法的几乎必然指数收敛性

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a blind adaptive algorithm for multi-access interference suppression based on constrained constant modulus criterion

基于约束恒模准则的盲自适应多址干扰抑制算法

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least squares adaptive algorithm for bearings-only multi-sensor maneuvering target passive tracking

多站测角的机动目标最小二乘自适应跟踪算法

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