Bioinformatics and Systems Biology, Sanford-Burnham Medical Research Institute, La Jolla, CA 92037, USA.
School of Informatics and Computing, Indiana University, Bloomington, IN 47405, USA.
Nucleic Acids Res. 2014 Jul;42(Web Server issue):W240-5. doi: 10.1093/nar/gku394. Epub 2014 May 16.
POSA (Partial Order Structure Alignment), available at http://posa.godziklab.org, is a server for multiple protein structure alignment introduced in 2005 (Ye,Y. and Godzik,A. (2005) Multiple flexible structure alignment using partial order graphs. Bioinformatics, 21, 2362-2369). It is free and open to all users, and there is no login requirement, albeit there is an option to register and store results in individual, password-protected directories. In the updated POSA server described here, we introduce two significant improvements. First is an interface allowing the user to provide additional information by defining segments that anchor the alignment in one or more input structures. This interface allows users to take advantage of their intuition and biological insights to improve the alignment and guide it toward a biologically relevant solution. The second improvement is an interactive visualization with options that allow the user to view all superposed structures in one window (a typical solution for visualizing results of multiple structure alignments) or view them individually in a series of synchronized windows with extensive, user-controlled visualization options. The user can rotate structure(s) in any of the windows and study similarities or differences between structures clearly visible in individual windows.
POSA(部分有序结构比对),可在 http://posa.godziklab.org 获取,是一个 2005 年引入的多蛋白质结构比对服务器(Ye,Y. 和 Godzik,A.(2005)使用部分有序图进行多个灵活结构比对。生物信息学,21,2362-2369)。它对所有用户免费开放,无需登录,但有注册选项,可以在个人密码保护的目录中存储结果。在本文描述的更新后的 POSA 服务器中,我们引入了两个重要的改进。第一个是一个接口,允许用户通过定义锚定在一个或多个输入结构中的段来提供额外的信息。这个接口允许用户利用他们的直觉和生物学洞察力来改进比对,并引导它朝着一个有生物学意义的解决方案。第二个改进是一个交互式可视化,具有允许用户在一个窗口中查看所有叠加结构的选项(这是可视化多个结构比对结果的典型解决方案),或者在一系列带有广泛用户控制可视化选项的同步窗口中单独查看它们。用户可以在任何一个窗口中旋转结构,并在单独的窗口中清楚地研究结构之间的相似性或差异性。