Sagemark Johanna, Kraulis Per, Weigelt Johan
Structural Genomics Consortium, Karolinska Institutet, Department of Medical Biochemistry and Biophysics, 171 77 Stockholm, Sweden.
Protein Expr Purif. 2010 Aug;72(2):175-8. doi: 10.1016/j.pep.2010.03.020. Epub 2010 Mar 30.
Structural and biochemical analysis of proteins requires access to purified protein material. Modern molecular biology technologies facilitate straightforward molecular cloning and expression analysis of multiple protein constructs in parallel, and such approaches have proven very efficient to identify samples suitable for further analysis. A variety of information can be used to support rational design of protein constructs. This includes, e.g. prediction of secondary structure elements, protein domain predictions, and structure prediction methods such as threading. To fully access the available information, collation of data extracted from several different sources is required. This can be cumbersome and sometimes also confusing due to for example different implementation of amino acid residue numbering schemes. The SGC Domain Boundary Analyser tool provides a graphical interface that simplifies and accelerates rational design of protein expression constructs.
蛋白质的结构和生化分析需要获得纯化的蛋白质材料。现代分子生物学技术有助于直接并行进行多种蛋白质构建体的分子克隆和表达分析,并且这种方法已被证明在识别适合进一步分析的样品方面非常有效。多种信息可用于支持蛋白质构建体的合理设计。这包括,例如二级结构元件的预测、蛋白质结构域预测以及诸如穿线法的结构预测方法。为了充分利用可用信息,需要对从几个不同来源提取的数据进行整理。由于例如氨基酸残基编号方案的不同实施方式,这可能很麻烦,有时也会令人困惑。SGC结构域边界分析器工具提供了一个图形界面,可简化并加速蛋白质表达构建体的合理设计。