An efficient algorithm for pairwise local alignment of protein interaction networks. 2015

Wenbin Chen, and Matthew Schmidt, and Wenhong Tian, and Nagiza F Samatova, and Shaohong Zhang
Department of Computer Science, Guangzhou University, 230 Wai Huan Xi Road, Guangzhou Higher Education Mega Center, Guangzhou, 510006, P. R. China , Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, 220 Handan Road, Yangpu District, Shanghai, 200433, P. R. China , State Key Laboratory for Novel Software Technology, Nanjing University, 22 Hankou Road, Nanjing, Jiangsu, 210093, P. R. China.

Recently, researchers seeking to understand, modify, and create beneficial traits in organisms have looked for evolutionarily conserved patterns of protein interactions. Their conservation likely means that the proteins of these conserved functional modules are important to the trait's expression. In this paper, we formulate the problem of identifying these conserved patterns as a graph optimization problem, and develop a fast heuristic algorithm for this problem. We compare the performance of our network alignment algorithm to that of the MaWISh algorithm [Koyutürk M, Kim Y, Topkara U, Subramaniam S, Szpankowski W, Grama A, Pairwise alignment of protein interaction networks, J Comput Biol13(2):182-199, 2006.], which bases its search algorithm on a related decision problem formulation. We find that our algorithm discovers conserved modules with a larger number of proteins in an order of magnitude less time. The protein sets found by our algorithm correspond to known conserved functional modules at comparable precision and recall rates as those produced by the MaWISh algorithm.

UI MeSH Term Description Entries
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000465 Algorithms A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task. Algorithm
D000818 Animals Unicellular or multicellular, heterotrophic organisms, that have sensation and the power of voluntary movement. Under the older five kingdom paradigm, Animalia was one of the kingdoms. Under the modern three domain model, Animalia represents one of the many groups in the domain EUKARYOTA. Animal,Metazoa,Animalia
D016415 Sequence Alignment The arrangement of two or more amino acid or base sequences from an organism or organisms in such a way as to align areas of the sequences sharing common properties. The degree of relatedness or homology between the sequences is predicted computationally or statistically based on weights assigned to the elements aligned between the sequences. This in turn can serve as a potential indicator of the genetic relatedness between the organisms. Sequence Homology Determination,Determination, Sequence Homology,Alignment, Sequence,Alignments, Sequence,Determinations, Sequence Homology,Sequence Alignments,Sequence Homology Determinations
D017124 Conserved Sequence A sequence of amino acids in a polypeptide or of nucleotides in DNA or RNA that is similar across multiple species. A known set of conserved sequences is represented by a CONSENSUS SEQUENCE. AMINO ACID MOTIFS are often composed of conserved sequences. Conserved Sequences,Sequence, Conserved,Sequences, Conserved
D060066 Protein Interaction Maps Graphs representing sets of measurable, non-covalent physical contacts with specific PROTEINS in living organisms or in cells. Protein-Protein Interaction Map,Protein-Protein Interaction Network,Protein Interaction Networks,Interaction Map, Protein,Interaction Map, Protein-Protein,Interaction Network, Protein,Interaction Network, Protein-Protein,Map, Protein Interaction,Map, Protein-Protein Interaction,Network, Protein Interaction,Network, Protein-Protein Interaction,Protein Interaction Map,Protein Interaction Network,Protein Protein Interaction Map,Protein Protein Interaction Network,Protein-Protein Interaction Maps,Protein-Protein Interaction Networks
D019295 Computational Biology A field of biology concerned with the development of techniques for the collection and manipulation of biological data, and the use of such data to make biological discoveries or predictions. This field encompasses all computational methods and theories for solving biological problems including manipulation of models and datasets. Bioinformatics,Molecular Biology, Computational,Bio-Informatics,Biology, Computational,Computational Molecular Biology,Bio Informatics,Bio-Informatic,Bioinformatic,Biologies, Computational Molecular,Biology, Computational Molecular,Computational Molecular Biologies,Molecular Biologies, Computational
D025941 Protein Interaction Mapping Methods for determining interaction between PROTEINS. Interaction Mapping, Protein,Interaction Mappings, Protein,Mapping, Protein Interaction,Mappings, Protein Interaction,Protein Interaction Mappings
D063990 Gene Ontology Sets of structured vocabularies used for describing and categorizing genes, and gene products by their molecular function, involvement in biological processes, and cellular location. These vocabularies and their associations to genes and gene products (Gene Ontology annotations) are generated and curated by the Gene Ontology Consortium. Gene Ontology Project,Gene Ontologies,Gene Ontology Projects,Ontologies, Gene,Ontology Project, Gene,Ontology Projects, Gene,Ontology, Gene,Project, Gene Ontology,Projects, Gene Ontology

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