A New Method for Identifying Essential Proteins Based on Network Topology Properties and Protein Complexes
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Title
A New Method for Identifying Essential Proteins Based on Network Topology Properties and Protein Complexes
Authors
Keywords
Centrality, Protein complexes, Forecasting, Protein interactions, Protein interaction networks, Statistical methods, Eigenvectors, Saccharomyces cerevisiae
Journal
PLoS One
Volume 11, Issue 8, Pages e0161042
Publisher
Public Library of Science (PLoS)
Online
2016-08-17
DOI
10.1371/journal.pone.0161042
References
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Note: Only part of the references are listed.- United Complex Centrality for Identification of Essential Proteins from PPI Networks
- (2017) Min Li et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- CytoNCA: A cytoscape plugin for centrality analysis and evaluation of protein interaction networks
- (2015) Yu Tang et al. BIOSYSTEMS
- Identification of Essential Proteins Based on a New Combination of Local Interaction Density and Protein Complexes
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- (2014) Xiwei Tang et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Identification of Essential Proteins Based on Ranking Edge-Weights in Protein-Protein Interaction Networks
- (2014) Yan Wang et al. PLoS One
- A New Method for the Discovery of Essential Proteins
- (2013) Xue Zhang et al. PLoS One
- Iteration method for predicting essential proteins based on orthology and protein-protein interaction networks
- (2012) Wei Peng et al. BMC Systems Biology
- A new essential protein discovery method based on the integration of protein-protein interaction and gene expression data
- (2012) Min Li et al. BMC Systems Biology
- A local average connectivity-based method for identifying essential proteins from the network level
- (2011) Min Li et al. COMPUTATIONAL BIOLOGY AND CHEMISTRY
- Identification of Essential Proteins Based on Edge Clustering Coefficient
- (2011) Jianxin Wang et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Computational prediction of essential genes in an unculturable endosymbiotic bacterium, Wolbachia of Brugia malayi
- (2009) Alexander G Holman et al. BMC MICROBIOLOGY
- How to identify essential genes from molecular networks?
- (2009) Gabriel del Rio et al. BMC Systems Biology
- Bootstrapping the Interactome: Unsupervised Identification of Protein Complexes in Yeast
- (2009) Caroline C. Friedel et al. JOURNAL OF COMPUTATIONAL BIOLOGY
- CORUM: the comprehensive resource of mammalian protein complexes—2009
- (2009) Andreas Ruepp et al. NUCLEIC ACIDS RESEARCH
- Localized network centrality and essentiality in the yeastâprotein interaction network
- (2009) Keunwan Park et al. PROTEOMICS
- Up-to-date catalogues of yeast protein complexes
- (2008) Shuye Pu et al. NUCLEIC ACIDS RESEARCH
- DEG 5.0, a database of essential genes in both prokaryotes and eukaryotes
- (2008) R. Zhang et al. NUCLEIC ACIDS RESEARCH
- Why Do Hubs in the Yeast Protein Interaction Network Tend To Be Essential: Reexamining the Connection between the Network Topology and Essentiality
- (2008) Elena Zotenko et al. PLoS Computational Biology
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