首页物理学
   首页地球科学
   首页生物学
0


蛋白质 - 蛋白质网络中基于协作相互作用的功能预测

Collaboration-based function prediction in protein-protein interaction networks
课程网址: http://videolectures.net/mlsb2010_rahmani_cbf/  
主讲教师: Hossein Rahmani
开课单位: 莱顿大学
开课时间: 2010-11-08
课程语种: 英语
中文简介:
我们考虑预测蛋白质蛋白质相互作用(PPI)网络中单个蛋白质功能的问题。现有技术假设在网络中拓扑上接近的蛋白质倾向于具有相似的功能。我们假设通过推广这个假设可以获得更好的预测准确性。如果具有一种功能的蛋白质经常与执行另一种功能的蛋白质相互作用,则称两种功能协作。我们的假设是,从网络中提取这种功能协作信息并利用它的技术可以产生更好的预测。我们提出并评估两种这样的技术。对不同细节水平的三种酿酒酵母相互作用网络的比较评价表明,新技术在现有技术功能预测技术方面持续改进,F测量值的改进范围为3%至17%。
课程简介: We consider the problem of predicting the functions of individual proteins in protein-protein interaction (PPI) networks. Existing techniques assume that proteins that are topologically close in the network tend to have similar functions. We hypothesize that better predictive accuracy can be obtained by generalizing this assumption. We call two functions collaborative if proteins with one function often interact with proteins performing the other function. Our hypothesis is that techniques that extract such function collaboration information from networks, and exploit it, can yield better predictions.We propose and evaluate two such techniques. A comparative evaluation on three S. cerevisiae interaction networks, at different levels of detail, shows that the new techniques consistently improve over state of the art function prediction techniques, with improvements in F-measure ranging from 3% to 17%.
关 键 词: 蛋白质; 相互作用; 比较评价
课程来源: 视频讲座网
最后编审: 2019-07-02:cwx
阅读次数: 86