scholarly journals An Improved Archaeology Algorithm Based on Integrated Multi-Source Biological Information for Yeast Protein Interaction Network

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 15893-15900 ◽  
Author(s):  
Jin Zhang ◽  
Huijie Yang ◽  
Houbing Song ◽  
Yuan Zhang
Keyword(s):  
Protein Interaction ◽  
Protein Interaction Network ◽  
Interaction Network ◽  
Biological Information ◽  
Yeast Protein ◽  
Yeast Protein Interaction

scholarly journals Modularity in the evolution of yeast protein interaction network

2015 ◽  
Vol 11 (3) ◽  
pp. 127-130
Author(s):  
Soichi Ogishima ◽  
◽  
Hiroshi Tanaka ◽  
Jun Nakaya ◽  
◽  
...  
Keyword(s):  
Protein Interaction ◽  
Protein Interaction Network ◽  
Interaction Network ◽  
Yeast Protein ◽  
Yeast Protein Interaction

Identification of Important Proteins in Protein Interaction Network Based on SVM

2014 ◽  
Vol 644-650 ◽  
pp. 5202-5206
Author(s):  
Yan Li Zha ◽  
Wan Cheng Luo
Keyword(s):  
Protein Interaction ◽  
Interaction Network ◽  
Biological Information ◽  
Yeast Protein ◽  
Essential Proteins ◽  
Svm Model ◽  
Network Topologies ◽  
Living Organisms ◽  
Yeast Protein Interaction ◽  
Relevant Experiment

Importance of proteins are different to perform functions of cells in living organisms according to the relevant experiment results, and more essential proteins is the most important kind of proteins. There are recently many computational approaches proposed to predict essential proteins in network level through network topologies combined with biological information of proteins. However it is still hard to identify them because of limitations of topological centralities and bioinformatic sources. And more it is the challenge is to perform better with less resources. Therefore in this paper, we first examine the correlation between common topological centralities and essential proteins and choose a few particular centralities, and then to build a SVM model, names as TC-SVM, for predicting the essential proteins. The new method has been applied to a yeast protein interaction networks, which are obtained from the BioGRID database. The ten folds experimental results show that the performance of predicting essential proteins by TC-SVM is excellent.

scholarly journals Stratus Not Altocumulus: A New View of the Yeast Protein Interaction Network

PLoS Biology ◽  
2006 ◽  
Vol 4 (10) ◽  
pp. e317 ◽  
Author(s):  
Nizar N Batada ◽  
Teresa Reguly ◽  
Ashton Breitkreutz ◽  
Lorrie Boucher ◽  
Bobby-Joe Breitkreutz ◽  
...  
Keyword(s):  
Protein Interaction ◽  
Protein Interaction Network ◽  
Interaction Network ◽  
Yeast Protein ◽  
Yeast Protein Interaction ◽  
New View

scholarly journals Linkers of Cell Polarity and Cell Cycle Regulation in the Fission Yeast Protein Interaction Network

2012 ◽  
Vol 8 (10) ◽  
pp. e1002732 ◽  
Author(s):  
Federico Vaggi ◽  
James Dodgson ◽  
Archana Bajpai ◽  
Anatole Chessel ◽  
Ferenc Jordán ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Fission Yeast ◽  
Cell Polarity ◽  
Protein Interaction ◽  
Protein Interaction Network ◽  
Cell Cycle Regulation ◽  
Interaction Network ◽  
Yeast Protein ◽  
Cycle Regulation ◽  
Yeast Protein Interaction

scholarly journals Differential evolutionary conservation of motif modes in the yeast protein interaction network

BMC Genomics ◽  
2006 ◽  
Vol 7 (1) ◽  
Author(s):  
Wei-Po Lee ◽  
Bing-Chiang Jeng ◽  
Tun-Wen Pai ◽  
Chin-Pei Tsai ◽  
Chang-Yung Yu ◽  
...  
Keyword(s):  
Protein Interaction ◽  
Protein Interaction Network ◽  
Interaction Network ◽  
Evolutionary Conservation ◽  
Yeast Protein ◽  
Yeast Protein Interaction
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