Prediction of protein-protein interaction based on structure.
Prediction of protein-protein interaction based on structure.
复制标题
基于结构的蛋白质-蛋白质相互作用的预测。
作者：
G. Fernández;L. Serrano
在蛋白质组学和结构基因组学时代，一个巨大的挑战是从序列中预测蛋白质的结构和功能，包括识别生物伙伴。开发一种构建特定位置评分矩阵的程序，用于预测和识别假定具有显著相似性的序列，面临着这一挑战。详细描述了用于序列和结构搜索、序列比对、蛋白质建模、分子编辑和修饰以及构建评分矩阵的本地和网络应用程序。该方法以结构数据库中包含的信息为基础，并考虑到表征家族内不同结构的微妙构象和序列细节。使用这些矩阵，可以很容易地扫描蛋白质序列数据库，以定位具有生物学意义的假定伙伴。这一方法的成功为在基因组水平上预测蛋白质-蛋白质相互作用开辟了道路。
A great challenge in the proteomics and structural genomics era is to predict protein structure and function from sequence, including the identification of biological partners. The development of a procedure to construct position-specific scoring matrices for the prediction and identification of sequences with putative significant affinity faces this challenge. The local and web applications used for sequence and structure search, sequence alignment, protein modeling, molecule edition and modification, and scoring matrices construction are described in detail. The methodology is based on the information contained in structural databases and takes into account the subtle conformational and sequence details that characterize different structures within a family. Using the matrices, the protein sequence databases can be easily scanned to locate putative partners of biological significance. The success of this methodology opens the way for the prediction of protein-protein interaction at genome scale.
影响因子：
5.6
作者：
Tsai, CJ;Lin, SL;Nussinov, R
通讯作者：
Nussinov, R
影响因子：
5.6
作者：
KUNTZ, ID;BLANEY, JM;FERRIN, TE
通讯作者：
FERRIN, TE