An Improved Algorithm for Estimation of Residue Evolutionary Conservation

摘要：

Evolutionary conservation estimated from a multiple sequence alignment is a powerful indicator of the functional significance of a residue, and helps to predict active sites, ligand binding sites, and protein interaction interfaces. Many algorithms that calculate conservation work well provided better and balanced alignment are used. Such a strong dependence on the alignment makes the results highly variable. Mihalek et al 1introduced a class of hybrid methods to estimate the residue evolutionary conservation. Here, we propose an improved algorithm handling the gap in the multi-sequences alignment to compute the residue conservation scores. Comparing with Mihaleks and Ben-Tals ConSurf methods, the results of simulation show that our methods are effective and increase the sensitivity and specificity of prediction, as well as make the conservation prediction algorithm more robust

关键词： evolutionary conservation gap functional residue sensitivity specificity

作者: Shao-Wu Zhang Yun-Long Zhang Quan Pan Yong-Mei Cheng Kuo-Chen Chou

作者单位: College of Automation Northwestern Polytechnical University Xian, Shaanxi, 710072, China Department of Computer First Aeronautical Institute of Air Force Xinyang, Henan, 464000, China Gordon Life Science Institute San Diego, CA 92130, USA.

会议类型: 国际会议

会议名称: The 1st International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2007)(首届IEEE生物信息与生物医学工程国际会议)

会议地点: 武汉

会议语种:英文

页码: 82-85

在线出版日期: 2007-07-06（万方平台首次上网日期，不代表论文的发表时间）