Biomedical Engineering Program, University of Texas Southwestern Medical Center, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390-9050, USA.
Bioinformatics. 2009 Aug 15;25(16):2076-7. doi: 10.1093/bioinformatics/btp346. Epub 2009 Jun 3.
Sensitive and accurate detection of distant protein homology is essential for the studies of protein structure, function and evolution. We recently developed PROCAIN, a method that is based on sequence profile comparison and involves the analysis of four signals--similarities of residue content at the profile positions combined with three types of assisting information: sequence motifs, residue conservation and predicted secondary structure. Here we present the PROCAIN web server that allows the user to submit a query sequence or multiple sequence alignment and perform the search in a profile database of choice. The output is structured similar to that of BLAST, with the list of detected homologs sorted by E-value and followed by profile-profile alignments. The front page allows the user to adjust multiple options of input processing and output formatting, as well as search settings, including the relative weights assigned to the three types of assisting information.
对远距离蛋白质同源性的敏感和准确检测对于蛋白质结构、功能和进化的研究至关重要。我们最近开发了 PROCAIN 方法,该方法基于序列轮廓比较,并涉及分析四个信号——轮廓位置处残基含量的相似性,结合三种辅助信息:序列基序、残基保守性和预测的二级结构。 在这里,我们介绍了 PROCAIN 网络服务器,允许用户提交查询序列或多序列比对,并在选择的轮廓数据库中执行搜索。输出结构类似于 BLAST,检测到的同源物按 E 值排序,并按轮廓-轮廓比对进行排列。主页允许用户调整输入处理和输出格式的多个选项,以及搜索设置,包括分配给三种辅助信息的相对权重。