CyanoPhyChe:一个用于蓝藻蛋白物理化学性质、结构和生化途径信息的数据库。
CyanoPhyChe: a database for physico-chemical properties, structure and biochemical pathway information of cyanobacterial proteins.
机构信息
Department of Plant Sciences, School of Life Sciences, University of Hyderabad, Hyderabad, Andhra Pradesh, India.
出版信息
PLoS One. 2012;7(11):e49425. doi: 10.1371/journal.pone.0049425. Epub 2012 Nov 21.
CyanoPhyChe is a user friendly database that one can browse through for physico-chemical properties, structure and biochemical pathway information of cyanobacterial proteins. We downloaded all the protein sequences from the cyanobacterial genome database for calculating the physico-chemical properties, such as molecular weight, net charge of protein, isoelectric point, molar extinction coefficient, canonical variable for solubility, grand average hydropathy, aliphatic index, and number of charged residues. Based on the physico-chemical properties, we provide the polarity, structural stability and probability of a protein entering in to an inclusion body (PEPIB). We used the data generated on physico-chemical properties, structure and biochemical pathway information of all cyanobacterial proteins to construct CyanoPhyChe. The data can be used for optimizing methods of expression and characterization of cyanobacterial proteins. Moreover, the 'Search' and data export options provided will be useful for proteome analysis. Secondary structure was predicted for all the cyanobacterial proteins using PSIPRED tool and the data generated is made accessible to researchers working on cyanobacteria. In addition, external links are provided to biological databases such as PDB and KEGG for molecular structure and biochemical pathway information, respectively. External links are also provided to different cyanobacterial databases. CyanoPhyChe can be accessed from the following URL: http://bif.uohyd.ac.in/cpc.
CyanoPhyChe 是一个用户友好的数据库,人们可以通过它浏览蓝藻蛋白质的物理化学性质、结构和生化途径信息。我们从蓝藻基因组数据库中下载了所有的蛋白质序列,用于计算物理化学性质,如分子量、蛋白质净电荷、等电点、摩尔消光系数、可溶性典型变量、平均疏水性、脂肪指数和带电残基数。基于物理化学性质,我们提供蛋白质的极性、结构稳定性和进入包涵体的概率(PEPIB)。我们使用所有蓝藻蛋白质的物理化学性质、结构和生化途径信息生成的数据来构建 CyanoPhyChe。这些数据可用于优化蓝藻蛋白质的表达和表征方法。此外,提供的“搜索”和数据导出选项将对蛋白质组分析有用。我们使用 PSIPRED 工具预测了所有蓝藻蛋白质的二级结构,并将生成的数据提供给研究蓝藻的研究人员。此外,还为生物数据库(如 PDB 和 KEGG)提供了外部链接,分别用于分子结构和生化途径信息。还为不同的蓝藻数据库提供了外部链接。CyanoPhyChe 可以从以下网址访问:http://bif.uohyd.ac.in/cpc。