Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: Improving the prediction of yeast protein function using weighted protein-protein interactions. | Ahmed et al. Theoretical Biology and Medical Modelling 2011 8 11 http content 8 1 11 RESEARCH THEORETICAL BIOLOGY AND MEDICAL MODELLING Open Access Improving the prediction of yeast protein function using weighted protein-protein interactions Khaled S Ahmed1 33 Nahed H Saloma23 and Yasser M Kadah3 Correspondence ymk@k-space. org department of Biomedical Engineering Cairo University Giza 12613 Egypt Full list of author information is available at the end of the article 2 BioMed Central Abstract Background Bioinformatics can be used to predict protein function leading to an understanding of cellular activities and equally-weighted protein-protein interactions PPI are normally used to predict such protein functions. The present study provides a weighting strategy for PPI to improve the prediction of protein functions. The weights are dependent on the local and global network topologies and the number of experimental verification methods. The proposed methods were applied to the yeast proteome and integrated with the neighbour counting method to predict the functions of unknown proteins. Results A new technique to weight interactions in the yeast proteome is presented. The weights are related to the network topology local and global and the number of identified methods and the results revealed improvement in the sensitivity and specificity of prediction in terms of cellular role and cellular locations. This method new weights was compared with a method that utilises interactions with the same weight and it was shown to be superior. Conclusions A new method for weighting the interactions in protein-protein interaction networks is presented. Experimental results concerning yeast proteins demonstrated that weighting interactions integrated with the neighbor counting method improved the sensitivity and specificity of prediction in terms of two functional categories cellular role and cell locations. Background Determining protein functions is an important .
