Obtaining structure and function of proteins is one of the main purposes of research in biology , but determining three - dimensional structure of protein by means of x - rays crystallography and nuclear magnetic resonance spectroscopy , and research in protein structure by the way of biochemistry , already can ’ t adapt the need of the rapid increase of protein sequence 获取蛋白质的结构和功能是生物学研究的重要目的之一,但是使用x光晶体衍射和核磁共振技术等实验手段测定蛋白质的三维结构,以及使用生物化学方法研究蛋白质的功能时效率不高,已经无法适应蛋白质序列飞速增长的需要。
In bioinformatics , the structure prediction of new sequence can be used to establish the relation between sequence and corresponding to the structure as well as function by making use of the structure - known model of the protein family , so that we can predict the structure and function of protein in less cost and shorter time 在生物信息学中,通过利用结构已知的蛋白质家族成员(模板)预测新序列的结构可以建立序列与相应结构和功能之间的联系,从而用较低的成本和较短的时间预测出蛋白质的结构和功能。
Arc1 , thl1 and thl2 , the substrate protein genes of s receptor kinase , were cloned through a series of methods of molecular biology such as pcr , rt - pcr , dna cloning and sequencing . the resultings sequences were highly analysed by using the related biosoftwares on internet , providing new insights in the field of the molecular mechanism of self - incompatibility in plants . the major results are as followings : 1 本文通过pcr和rt - pcr等一系列分子生物学方法克隆了芸薹属植物中的甘蓝和油菜自交不亲和信号传导过程中srk底物蛋白基因arc1 、 thl1和thl2 ，并使用各种相关生物信息学软件对srk底物蛋白基因序列进行了分析，然后在internet网上利用在线软件对蛋白质的结构和功能进行了预测和探讨，以期为芸薹属植物自交不亲和性的分子机理的研究提供新的内容。
Consequently , study on the mechanisms of salt - tolerance in plants and breeding of salt - tolerant plants has become a key issue in plant biology nowadays . as an important plant osmotic regulators , glycine betaine in plants , under the osmotic stress , can be accumulated in order to give the plants high salt - tolerance by reducing osmotic pressure and maintaining proteinic structure in cell 甘氨酸甜菜碱( glycinebetaine )是一种重要的调渗物质，在盐胁迫下有些植物能通过体内甘氨酸甜菜碱的积累保护细胞内蛋白质的结构和功能，降低细胞水势，从而来增加自身的耐盐能力。
With regard to the message board posts , we aren ' t yet doing any work on diabetes or ms specifically , but if we can generate accurate structures of proteins involved in these diseases using the methods you are helping us to develop , it will contribute to efforts to develop therapies 在此回答留言板的一些帖子，我们还没有进行糖尿病或多发性硬化症相关的工作，但是如果能够使用你们帮助我们开发的计算方法来更好地预测和这些疾病相关的蛋白质的结构，这也会对研究这些疾病的人员有帮助的。
