Complex Detection in Protein-Protein Interaction Networks: A Compact Overview for Researchers and Practitioners

The availability of large volumes of protein-protein interaction data has allowed the study of biological networks to unveil the complex structure and organization in the cell. It has been recognized by biologists that proteins interacting with each other often participate in the same biological processes, and that protein modules may be often associated with specific biological functions. Thus the detection of protein complexes is an important research problem in systems biology. In this review, recent graph-based approaches to clustering protein interaction networks are described and classified with respect to common peculiarities. The goal is that of providing a useful guide and reference for both computer scientists and biologists.

[1]  Ali Masoudi-Nejad,et al.  Improved Immune Genetic Algorithm for Clustering Protein-Protein Interaction Network , 2010, 2010 IEEE International Conference on BioInformatics and BioEngineering.

[2]  Youping Deng,et al.  Recent advances in clustering methods for protein interaction networks , 2010, BMC Genomics.

[3]  Clara Pizzuti,et al.  GA-Net: A Genetic Algorithm for Community Detection in Social Networks , 2008, PPSN.

[4]  Gary D. Bader,et al.  An automated method for finding molecular complexes in large protein interaction networks , 2003, BMC Bioinformatics.

[5]  Juan Liu,et al.  Clustering Protein Interaction Data Through Chaotic Genetic Algorithm , 2006, SEAL.

[6]  Aidong Zhang,et al.  Identification of Overlapping Functional Modules in Protein Interaction Networks: Information Flow-based Approach , 2006, ICDM Workshops.

[7]  Takeaki Uno,et al.  Enumeration of condition-dependent dense modules in protein interaction networks , 2009, 21st International Conference on Data Engineering Workshops (ICDEW'05).

[8]  Benno Schwikowski,et al.  Graph-based methods for analysing networks in cell biology , 2006, Briefings Bioinform..

[9]  Anil K. Jain,et al.  Algorithms for Clustering Data , 1988 .

[10]  Clara Pizzuti,et al.  Discovering Protein Complexes in Protein Interaction Networks , 2009 .

[11]  Robin Palotai,et al.  Community Landscapes: An Integrative Approach to Determine Overlapping Network Module Hierarchy, Identify Key Nodes and Predict Network Dynamics , 2009, PloS one.

[12]  Clara Pizzuti,et al.  Multi-functional Protein Clustering in PPI Networks , 2008, BIRD.

[13]  Simon M. Lucas,et al.  Parallel Problem Solving from Nature - PPSN X, 10th International Conference Dortmund, Germany, September 13-17, 2008, Proceedings , 2008, PPSN.

[14]  M. Ashburner,et al.  Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.

[15]  Haluk Bingol,et al.  Community Detection in Complex Networks Using Genetic Algorithms , 2006, 0711.0491.

[16]  Illés J. Farkas,et al.  CFinder: locating cliques and overlapping modules in biological networks , 2006, Bioinform..

[17]  Aidong Zhang,et al.  Clustering Methods in a Protein–Protein Interaction Network , 2007 .

[18]  Igor Jurisica,et al.  Knowledge Discovery in Proteomics , 2004 .

[19]  Arlindo L. Oliveira,et al.  Biclustering algorithms for biological data analysis: a survey , 2004, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

[20]  Yang Li,et al.  Analysis of Tiling Microarray Data by Learning Vector Quantization and Relevance Learning , 2007, IDEAL.

[21]  Ron Shamir,et al.  A clustering algorithm based on graph connectivity , 2000, Inf. Process. Lett..

[22]  Shigehiko Kanaya,et al.  Development and implementation of an algorithm for detection of protein complexes in large interaction networks , 2006, BMC Bioinformatics.

[23]  Hu Chen,et al.  Inferring protein function by domain context similarities in protein-protein interaction networks , 2009, BMC Bioinformatics.

[24]  Reinhard Schneider,et al.  Using graph theory to analyze biological networks , 2011, BioData Mining.

[25]  Ignacio Marín,et al.  Iterative Cluster Analysis of Protein Interaction Data , 2005, Bioinform..

[26]  Anton J. Enright,et al.  An efficient algorithm for large-scale detection of protein families. , 2002, Nucleic acids research.

[27]  See-Kiong Ng,et al.  Discovering protein complexes in dense reliable neighborhoods of protein interaction networks. , 2007, Computational systems bioinformatics. Computational Systems Bioinformatics Conference.

[28]  Santo Fortunato,et al.  Community detection in graphs , 2009, ArXiv.

[29]  A. Ruttenberg,et al.  Edge‐count probabilities for the identification of local protein communities and their organization , 2005, Proteins.

[30]  H. Mewes,et al.  Functional modules by relating protein interaction networks and gene expression. , 2003, Nucleic acids research.

[31]  Zelmina Lubovac,et al.  Combining functional and topological properties to identify core modules in protein interaction networks , 2006, Proteins.

[32]  Anton J. Enright,et al.  Detection of functional modules from protein interaction networks , 2003, Proteins.

[33]  E. Levina,et al.  Community extraction for social networks , 2010, Proceedings of the National Academy of Sciences.

[34]  Weixiong Zhang,et al.  Identifying network communities with a high resolution. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[35]  M. Samanta,et al.  Predicting protein functions from redundancies in large-scale protein interaction networks , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[36]  Peng Jiang,et al.  SPICi: a fast clustering algorithm for large biological networks , 2010, Bioinform..

[37]  Clara Pizzuti,et al.  PINCoC : A Co-clustering Based Approach to Analyze Protein-Protein Interaction Networks , 2007, IDEAL.

[38]  Ambuj K. Singh,et al.  RRW: repeated random walks on genome-scale protein networks for local cluster discovery , 2009, BMC Bioinformatics.

[39]  Livia Perfetto,et al.  MINT, the molecular interaction database: 2009 update , 2009, Nucleic Acids Res..

[40]  Maria Victoria Schneider,et al.  MINT: a Molecular INTeraction database. , 2002, FEBS letters.

[41]  T. Vicsek,et al.  Uncovering the overlapping community structure of complex networks in nature and society , 2005, Nature.

[42]  T. Vicsek,et al.  Clique percolation in random networks. , 2005, Physical review letters.

[43]  Aidong Zhang,et al.  A two-step approach for clustering proteins based on protein interaction profile , 2005, Fifth IEEE Symposium on Bioinformatics and Bioengineering (BIBE'05).

[44]  Blatt,et al.  Superparamagnetic clustering of data. , 1998, Physical review letters.

[45]  J. Hopfield,et al.  From molecular to modular cell biology , 1999, Nature.

[46]  Aidong Zhang,et al.  CHAPTER 1 CLUSTERING METHODS IN PROTEIN-PROTEIN INTERACTION NETWORK , 2006 .

[47]  ArnauVicente,et al.  Iterative Cluster Analysis of Protein Interaction Data , 2005 .

[48]  Christopher C. Moser,et al.  Natural engineering principles of electron tunnelling in biological oxidation–reduction , 1999, Nature.

[49]  B. Snel,et al.  Comparative assessment of large-scale data sets of protein–protein interactions , 2002, Nature.

[50]  Elena Marchiori,et al.  Describing the Orthology Signal in a PPI Network at a Functional, Complex Level , 2011, ISBRA.

[51]  M E J Newman,et al.  Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[52]  Igor Jurisica,et al.  Protein complex prediction via cost-based clustering , 2004, Bioinform..

[53]  Aidong Zhang,et al.  A novel functional module detection algorithm for protein-protein interaction networks , 2006, Algorithms for Molecular Biology.

[54]  Elena Marchiori,et al.  A methodology for detecting the orthology signal in a PPI network at a functional complex level , 2012, BMC Bioinformatics.

[55]  R. Carter 11 – IT and society , 1991 .

[56]  Xiaoli Li,et al.  Computational approaches for detecting protein complexes from protein interaction networks: a survey , 2010, BMC Genomics.

[57]  angesichts der Corona-Pandemie,et al.  UPDATE , 1973, The Lancet.

[58]  Limsoon Wong,et al.  Using indirect protein-protein interactions for protein complex predication. , 2007, Computational systems bioinformatics. Computational Systems Bioinformatics Conference.

[59]  Igor Jurisica,et al.  Functional topology in a network of protein interactions , 2004, Bioinform..

[60]  Alexander Rives,et al.  Modular organization of cellular networks , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[61]  Jacques van Helden,et al.  Evaluation of clustering algorithms for protein-protein interaction networks , 2006, BMC Bioinformatics.