期刊论文详细信息
BMC Bioinformatics
Block-based characterization of protease specificity from substrate sequence profile
Research Article
Yang Li1  Bo Gao1  Guojun Li1  Enfeng Qi1  Dongyu Wang2 
[1] School of Mathematics, Shandong University, 250100, Jinan, China;The State Key Laboratory of Microbial Technology, Shandong University, 250100, Jinan, China;
关键词: Protease;    Block;    Entropy;    Site cooperation;   
DOI  :  10.1186/s12859-017-1851-1
 received in 2017-06-15, accepted in 2017-09-26,  发布年份 2017
来源: Springer
PDF
【 摘 要 】

BackgroundThe mechanism of action of proteases has been widely studied based on substrate specificity. Prior research has been focused on the amino acids at a single amino acid site, but rarely on combinations of amino acids around the cleavage bond.ResultsWe propose a novel block-based approach to reveal the potential combinations of amino acids which may regulate the action of proteases. Using the entropies of eight blocks centered at a cleavage bond, we created a distance matrix for 61 proteases to compare their specificities. After quantitative analysis, we discovered a number of prominent blocks, each of which consists of successive amino acids near a cleavage bond, intuitively characterizing the site cooperation of the substrate sequences.ConclusionThis approach will help in the discovery of specific substrate sequences which may bridge between proteases and cleavage substrate as more substrate information becomes available.

【 授权许可】

CC BY   
© The Author(s). 2017

【 预 览 】
附件列表
Files Size Format View
RO202311101018460ZK.pdf 1005KB PDF download
Fig. 6 648KB Image download
【 图 表 】

Fig. 6

【 参考文献 】
  • [1]
  • [2]
  • [3]
  • [4]
  • [5]
  • [6]
  • [7]
  • [8]
  • [9]
  • [10]
  • [11]
  • [12]
  • [13]
  • [14]
  • [15]
  • [16]
  • [17]
  • [18]
  • [19]
  • [20]
  • [21]
  • [22]
  • [23]
  • [24]
  • [25]
  • [26]
  • [27]
  • [28]
  • [29]
  • [30]
  • [31]
  • [32]
  • [33]
  • [34]
  • [35]
  • [36]
  • [37]
  • [38]
  • [39]
  • [40]
  • [41]
  • [42]
  • [43]
  • [44]
  • [45]
  文献评价指标  
  下载次数:5次 浏览次数:0次