Hierarchical modularity of nested bow-ties in metabolic networks.

Abstract:

BACKGROUND:The exploration of the structural topology and the organizing principles of genome-based large-scale metabolic networks is essential for studying possible relations between structure and functionality of metabolic networks. Topological analysis of graph models has often been applied to study the structural characteristics of complex metabolic networks. RESULTS:In this work, metabolic networks of 75 organisms were investigated from a topological point of view. Network decomposition of three microbes (Escherichia coli, Aeropyrum pernix and Saccharomyces cerevisiae) shows that almost all of the sub-networks exhibit a highly modularized bow-tie topological pattern similar to that of the global metabolic networks. Moreover, these small bow-ties are hierarchically nested into larger ones and collectively integrated into a large metabolic network, and important features of this modularity are not observed in the random shuffled network. In addition, such a bow-tie pattern appears to be present in certain chemically isolated functional modules and spatially separated modules including carbohydrate metabolism, cytosol and mitochondrion respectively. CONCLUSION:The highly modularized bow-tie pattern is present at different levels and scales, and in different chemical and spatial modules of metabolic networks, which is likely the result of the evolutionary process rather than a random accident. Identification and analysis of such a pattern is helpful for understanding the design principles and facilitate the modelling of metabolic networks.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Zhao J,Yu H,Luo JH,Cao ZW,Li YX

doi

10.1186/1471-2105-7-386

subject

Has Abstract

pub_date

2006-08-18 00:00:00

pages

386

issn

1471-2105

pii

1471-2105-7-386

journal_volume

7

pub_type

杂志文章
  • ORdensity: user-friendly R package to identify differentially expressed genes.

    abstract:BACKGROUND:Microarray technology provides the expression level of many genes. Nowadays, an important issue is to select a small number of informative differentially expressed genes that provide biological knowledge and may be key elements for a disease. With the increasing volume of data generated by modern biomedical ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-3463-4

    authors: Martínez-Otzeta JM,Irigoien I,Sierra B,Arenas C

    更新日期:2020-04-07 00:00:00

  • GlycomeDB - integration of open-access carbohydrate structure databases.

    abstract:BACKGROUND:Although carbohydrates are the third major class of biological macromolecules, after proteins and DNA, there is neither a comprehensive database for carbohydrate structures nor an established universal structure encoding scheme for computational purposes. Funding for further development of the Complex Carboh...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-384

    authors: Ranzinger R,Herget S,Wetter T,von der Lieth CW

    更新日期:2008-09-19 00:00:00

  • antaRNA--Multi-objective inverse folding of pseudoknot RNA using ant-colony optimization.

    abstract:BACKGROUND:Many functional RNA molecules fold into pseudoknot structures, which are often essential for the formation of an RNA's 3D structure. Currently the design of RNA molecules, which fold into a specific structure (known as RNA inverse folding) within biotechnological applications, is lacking the feature of incor...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0815-6

    authors: Kleinkauf R,Houwaart T,Backofen R,Mann M

    更新日期:2015-11-18 00:00:00

  • Identification of exonic regions in DNA sequences using cross-correlation and noise suppression by discrete wavelet transform.

    abstract:BACKGROUND:The identification of protein coding regions (exons) in DNA sequences using signal processing techniques is an important component of bioinformatics and biological signal processing. In this paper, a new method is presented for the identification of exonic regions in DNA sequences. This method is based on th...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-430

    authors: Abbasi O,Rostami A,Karimian G

    更新日期:2011-11-03 00:00:00

  • Application of protein structure alignments to iterated hidden Markov model protocols for structure prediction.

    abstract:BACKGROUND:One of the most powerful methods for the prediction of protein structure from sequence information alone is the iterative construction of profile-type models. Because profiles are built from sequence alignments, the sequences included in the alignment and the method used to align them will be important to th...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-410

    authors: Scheeff ED,Bourne PE

    更新日期:2006-09-14 00:00:00

  • GraphDNA: a Java program for graphical display of DNA composition analyses.

    abstract:BACKGROUND:Under conditions of no strand bias the number of Gs is equal to that of Cs for each DNA strand; similarly, the total number of Ts is equal to that of As. However, within each strand there are considerable local deviations from the A = T and G = C equality. These asymmetries in nucleotide composition have bee...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-21

    authors: Thomas JM,Horspool D,Brown G,Tcherepanov V,Upton C

    更新日期:2007-01-23 00:00:00

  • A computational approach for detecting peptidases and their specific inhibitors at the genome level.

    abstract:BACKGROUND:Peptidases are proteolytic enzymes responsible for fundamental cellular activities in all organisms. Apparently about 2-5% of the genes encode for peptidases, irrespectively of the organism source. The basic peptidase function is "protein digestion" and this can be potentially dangerous in living organisms w...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-S1-S3

    authors: Bartoli L,Calabrese R,Fariselli P,Mita DG,Casadio R

    更新日期:2007-03-08 00:00:00

  • ESTIMA, a tool for EST management in a multi-project environment.

    abstract:BACKGROUND:Single-pass, partial sequencing of complementary DNA (cDNA) libraries generates thousands of chromatograms that are processed into high quality expressed sequence tags (ESTs), and then assembled into contigs representative of putative genes. Usually, to be of value, ESTs and contigs must be associated with m...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-5-176

    authors: Kumar CG,LeDuc R,Gong G,Roinishivili L,Lewin HA,Liu L

    更新日期:2004-11-04 00:00:00

  • scDC: single cell differential composition analysis.

    abstract:BACKGROUND:Differences in cell-type composition across subjects and conditions often carry biological significance. Recent advancements in single cell sequencing technologies enable cell-types to be identified at the single cell level, and as a result, cell-type composition of tissues can now be studied in exquisite de...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3211-9

    authors: Cao Y,Lin Y,Ormerod JT,Yang P,Yang JYH,Lo KK

    更新日期:2019-12-24 00:00:00

  • MicroSyn: a user friendly tool for detection of microsynteny in a gene family.

    abstract:BACKGROUND:The traditional phylogeny analysis within gene family is mainly based on DNA or amino acid sequence homologies. However, these phylogenetic tree analyses are not suitable for those "non-traditional" gene families like microRNA with very short sequences. For the normal protein-coding gene families, low bootst...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-79

    authors: Cai B,Yang X,Tuskan GA,Cheng ZM

    更新日期:2011-03-18 00:00:00

  • DeepQA: improving the estimation of single protein model quality with deep belief networks.

    abstract:BACKGROUND:Protein quality assessment (QA) useful for ranking and selecting protein models has long been viewed as one of the major challenges for protein tertiary structure prediction. Especially, estimating the quality of a single protein model, which is important for selecting a few good models out of a large model ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1405-y

    authors: Cao R,Bhattacharya D,Hou J,Cheng J

    更新日期:2016-12-05 00:00:00

  • Quartet decomposition server: a platform for analyzing phylogenetic trees.

    abstract:BACKGROUND:The frequent exchange of genetic material among prokaryotes means that extracting a majority or plurality phylogenetic signal from many gene families, and the identification of gene families that are in significant conflict with the plurality signal is a frequent task in comparative genomics, and especially ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-123

    authors: Mao F,Williams D,Zhaxybayeva O,Poptsova M,Lapierre P,Gogarten JP,Xu Y

    更新日期:2012-06-07 00:00:00

  • A De-Novo Genome Analysis Pipeline (DeNoGAP) for large-scale comparative prokaryotic genomics studies.

    abstract:BACKGROUND:Comparative analysis of whole genome sequence data from closely related prokaryotic species or strains is becoming an increasingly important and accessible approach for addressing both fundamental and applied biological questions. While there are number of excellent tools developed for performing this task, ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1142-2

    authors: Thakur S,Guttman DS

    更新日期:2016-06-30 00:00:00

  • Predicting domain-domain interaction based on domain profiles with feature selection and support vector machines.

    abstract:BACKGROUND:Protein-protein interaction (PPI) plays essential roles in cellular functions. The cost, time and other limitations associated with the current experimental methods have motivated the development of computational methods for predicting PPIs. As protein interactions generally occur via domains instead of the ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-537

    authors: González AJ,Liao L

    更新日期:2010-10-29 00:00:00

  • SPECS: a non-parametric method to identify tissue-specific molecular features for unbalanced sample groups.

    abstract:BACKGROUND:To understand biology and differences among various tissues or cell types, one typically searches for molecular features that display characteristic abundance patterns. Several specificity metrics have been introduced to identify tissue-specific molecular features, but these either require an equal number of...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-3407-z

    authors: Everaert C,Volders PJ,Morlion A,Thas O,Mestdagh P

    更新日期:2020-02-17 00:00:00

  • Detection of nuclei in 4D Nomarski DIC microscope images of early Caenorhabditis elegans embryos using local image entropy and object tracking.

    abstract:BACKGROUND:The ability to detect nuclei in embryos is essential for studying the development of multicellular organisms. A system of automated nuclear detection has already been tested on a set of four-dimensional (4D) Nomarski differential interference contrast (DIC) microscope images of Caenorhabditis elegans embryos...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-125

    authors: Hamahashi S,Onami S,Kitano H

    更新日期:2005-05-24 00:00:00

  • The textual characteristics of traditional and Open Access scientific journals are similar.

    abstract:BACKGROUND:Recent years have seen an increased amount of natural language processing (NLP) work on full text biomedical journal publications. Much of this work is done with Open Access journal articles. Such work assumes that Open Access articles are representative of biomedical publications in general and that methods...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-183

    authors: Verspoor K,Cohen KB,Hunter L

    更新日期:2009-06-15 00:00:00

  • Predicting peptide presentation by major histocompatibility complex class I: an improved machine learning approach to the immunopeptidome.

    abstract:BACKGROUND:To further our understanding of immunopeptidomics, improved tools are needed to identify peptides presented by major histocompatibility complex class I (MHC-I). Many existing tools are limited by their reliance upon chemical affinity data, which is less biologically relevant than sampling by mass spectrometr...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2561-z

    authors: Boehm KM,Bhinder B,Raja VJ,Dephoure N,Elemento O

    更新日期:2019-01-05 00:00:00

  • A machine learning strategy for predicting localization of post-translational modification sites in protein-protein interacting regions.

    abstract:BACKGROUND:One very important functional domain of proteins is the protein-protein interacting region (PPIR), which forms the binding interface between interacting polypeptide chains. Post-translational modifications (PTMs) that occur in the PPIR can either interfere with or facilitate the interaction between proteins....

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1165-8

    authors: Saethang T,Payne DM,Avihingsanon Y,Pisitkun T

    更新日期:2016-08-17 00:00:00

  • SIMAT: GC-SIM-MS data analysis tool.

    abstract:BACKGROUND:Gas chromatography coupled with mass spectrometry (GC-MS) is one of the technologies widely used for qualitative and quantitative analysis of small molecules. In particular, GC coupled to single quadrupole MS can be utilized for targeted analysis by selected ion monitoring (SIM). However, to our knowledge, t...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0681-2

    authors: Ranjbar MR,Di Poto C,Wang Y,Ressom HW

    更新日期:2015-08-19 00:00:00

  • Preliminary nanopore cheminformatics analysis of aptamer-target binding strength.

    abstract:BACKGROUND:Aptamers are nucleic acids selected for their ability to bind to molecules of interest and may provide the basis for a whole new class of medicines. If the aptamer is simply a dsDNA molecule with a ssDNA overhang (a "sticky" end) then the segment of ssDNA that complements that overhang provides a known bindi...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-S7-S11

    authors: Thomson K,Amin I,Morales E,Winters-Hilt S

    更新日期:2007-11-01 00:00:00

  • An improved method for identifying functionally linked proteins using phylogenetic profiles.

    abstract:BACKGROUND:Phylogenetic profiles record the occurrence of homologs of genes across fully sequenced organisms. Proteins with similar profiles are typically components of protein complexes or metabolic pathways. Various existing methods measure similarity between two profiles and, hence, the likelihood that the two prote...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-S4-S7

    authors: Cokus S,Mizutani S,Pellegrini M

    更新日期:2007-05-22 00:00:00

  • PoGO: Prediction of Gene Ontology terms for fungal proteins.

    abstract:BACKGROUND:Automated protein function prediction methods are the only practical approach for assigning functions to genes obtained from model organisms. Many of the previously reported function annotation methods are of limited utility for fungal protein annotation. They are often trained only to one species, are not a...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-215

    authors: Jung J,Yi G,Sukno SA,Thon MR

    更新日期:2010-04-29 00:00:00

  • SemaTyP: a knowledge graph based literature mining method for drug discovery.

    abstract:BACKGROUND:Drug discovery is the process through which potential new medicines are identified. High-throughput screening and computer-aided drug discovery/design are the two main drug discovery methods for now, which have successfully discovered a series of drugs. However, development of new drugs is still an extremely...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2167-5

    authors: Sang S,Yang Z,Wang L,Liu X,Lin H,Wang J

    更新日期:2018-05-30 00:00:00

  • NEAT: an efficient network enrichment analysis test.

    abstract:BACKGROUND:Network enrichment analysis is a powerful method, which allows to integrate gene enrichment analysis with the information on relationships between genes that is provided by gene networks. Existing tests for network enrichment analysis deal only with undirected networks, they can be computationally slow and a...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1203-6

    authors: Signorelli M,Vinciotti V,Wit EC

    更新日期:2016-09-05 00:00:00

  • Classification of viral zoonosis through receptor pattern analysis.

    abstract:BACKGROUND:Viral zoonosis, the transmission of a virus from its primary vertebrate reservoir species to humans, requires ubiquitous cellular proteins known as receptor proteins. Zoonosis can occur not only through direct transmission from vertebrates to humans, but also through intermediate reservoirs or other environm...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-96

    authors: Bae SE,Son HS

    更新日期:2011-04-13 00:00:00

  • Identification of common coexpression modules based on quantitative network comparison.

    abstract:BACKGROUND:Finding common molecular interactions from different samples is essential work to understanding diseases and other biological processes. Coexpression networks and their modules directly reflect sample-specific interactions among genes. Therefore, identification of common coexpression network or modules may r...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2193-3

    authors: Jo Y,Kim S,Lee D

    更新日期:2018-06-13 00:00:00

  • BRCA-Pathway: a structural integration and visualization system of TCGA breast cancer data on KEGG pathways.

    abstract:BACKGROUND:Bioinformatics research for finding biological mechanisms can be done by analysis of transcriptome data with pathway based interpretation. Therefore, researchers have tried to develop tools to analyze transcriptome data with pathway based interpretation. Over the years, the amount of omics data has become hu...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2016-6

    authors: Kim I,Choi S,Kim S

    更新日期:2018-02-19 00:00:00

  • GenomeBlast: a web tool for small genome comparison.

    abstract:BACKGROUND:Comparative genomics has become an essential approach for identifying homologous gene candidates and their functions, and for studying genome evolution. There are many tools available for genome comparisons. Unfortunately, most of them are not applicable for the identification of unique genes and the inferen...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-S4-S18

    authors: Lu G,Jiang L,Helikar RM,Rowley TW,Zhang L,Chen X,Moriyama EN

    更新日期:2006-12-12 00:00:00

  • Towards a supervised classification of neocortical interneuron morphologies.

    abstract:BACKGROUND:The challenge of classifying cortical interneurons is yet to be solved. Data-driven classification into established morphological types may provide insight and practical value. RESULTS:We trained models using 217 high-quality morphologies of rat somatosensory neocortex interneurons reconstructed by a single...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2470-1

    authors: Mihaljević B,Larrañaga P,Benavides-Piccione R,Hill S,DeFelipe J,Bielza C

    更新日期:2018-12-17 00:00:00