메뉴 건너뛰기




Volumn 1158, Issue , 2009, Pages 143-158

A network inference workflow applied to virulence-related processes in salmonella typhimurium

Author keywords

Biological networks; Microarray analysis; Network inference; Regulons; Salmonella typhimurium; Transcriptional regulatory network

Indexed keywords

ARTICLE; BACTERIAL GENE; BACTERIAL VIRULENCE; COMPUTER PROGRAM; CONTROLLED STUDY; DATA ANALYSIS; DNA MICROARRAY; GENE EXPRESSION; GENETIC ALGORITHM; GENETIC MODEL; INFORMATION RETRIEVAL; NONHUMAN; REGULON; SALMONELLA TYPHIMURIUM; SIGNAL TRANSDUCTION; TRANSCRIPTION REGULATION;

EID: 63849342239     PISSN: 00778923     EISSN: 17496632     Source Type: Book Series    
DOI: 10.1111/j.1749-6632.2008.03762.x     Document Type: Article
Times cited : (5)

References (62)
  • 1
    • 0742305866 scopus 로고    scopus 로고
    • Network biology: Understanding the cell's functional organization
    • Barabasi, A.-L. Z.N. Oltvai. 2004. Network biology: understanding the cell's functional organization. Nat. Rev. Genet. 5 : 101 113.
    • (2004) Nat. Rev. Genet. , vol.5 , pp. 101-113
    • Barabasi, A.-L.1    Oltvai, Z.N.2
  • 3
    • 0036207347 scopus 로고    scopus 로고
    • Modeling and simulation of genetic regulatory systems: A literature review
    • de Jong, H. 2002. Modeling and simulation of genetic regulatory systems: a literature review. J. Comput. Biol. 9 : 67 103.
    • (2002) J. Comput. Biol. , vol.9 , pp. 67-103
    • De Jong, H.1
  • 4
    • 13444278821 scopus 로고    scopus 로고
    • Reconstruction of cellular signalling networks and analysis of their properties
    • Papin, J.A. et al. 2005. Reconstruction of cellular signalling networks and analysis of their properties. Nat. Rev. Mol. Cell Biol. 6 : 99 111.
    • (2005) Nat. Rev. Mol. Cell Biol. , vol.6 , pp. 99-111
    • Papin, J.A.1
  • 6
    • 33748846417 scopus 로고    scopus 로고
    • Transcriptional regulatory networks in bacteria: From input signals to output responses
    • Seshasayee, A.S.N. et al. 2006. Transcriptional regulatory networks in bacteria: from input signals to output responses. Curr. Opin. Microbiol. 9 : 511 519.
    • (2006) Curr. Opin. Microbiol. , vol.9 , pp. 511-519
    • Seshasayee, A.S.N.1
  • 7
    • 0036020655 scopus 로고    scopus 로고
    • Genetic network modeling
    • van Someren, E.P. et al. 2002. Genetic network modeling. Pharmacogenomics 3 : 507 525.
    • (2002) Pharmacogenomics , vol.3 , pp. 507-525
    • Van Someren, E.P.1
  • 8
    • 0142210288 scopus 로고    scopus 로고
    • Topology of gene expression networks as revealed by data mining and modeling
    • Lukashin, A.V., M.E. Lukashev R. Fuchs. 2003. Topology of gene expression networks as revealed by data mining and modeling. Bioinformatics 19 : 1909 1916.
    • (2003) Bioinformatics , vol.19 , pp. 1909-1916
    • Lukashin, A.V.1    Lukashev, M.E.2    Fuchs, R.3
  • 9
    • 33646547951 scopus 로고    scopus 로고
    • System biology approaches indentify ATF3 as a negative regulator of Toll-like receptor 4
    • Gilchrist, M.A. et al. 2006. System biology approaches indentify ATF3 as a negative regulator of Toll-like receptor 4. Nature 441 : 173 178.
    • (2006) Nature , vol.441 , pp. 173-178
    • Gilchrist, M.A.1
  • 10
    • 34548761859 scopus 로고    scopus 로고
    • Comparative analysis of regulatory motif discovery tools for transcription factor binding sites
    • Wei, W. X.-D. Yu. 2007. Comparative analysis of regulatory motif discovery tools for transcription factor binding sites. Genomics Proteomics Bioinformatics 5 : 131 142.
    • (2007) Genomics Proteomics Bioinformatics , vol.5 , pp. 131-142
    • Wei, W.1    Yu., X.-D.2
  • 11
    • 21144439147 scopus 로고    scopus 로고
    • Assessing computational tools for the discovery of transcription factor binding sites
    • Tompa, M. et al. 2005. Assessing computational tools for the discovery of transcription factor binding sites. Nat. Biotech. 23 : 137 144.
    • (2005) Nat. Biotech. , vol.23 , pp. 137-144
    • Tompa, M.1
  • 12
    • 34548219522 scopus 로고    scopus 로고
    • Comparative genomic reconstruction of transcriptional regulatory networks in bacteria
    • Rodionov, D.A. 2007. Comparative genomic reconstruction of transcriptional regulatory networks in bacteria. Chem. Rev. 107 : 3467 3497.
    • (2007) Chem. Rev. , vol.107 , pp. 3467-3497
    • Rodionov, D.A.1
  • 13
    • 1242328740 scopus 로고    scopus 로고
    • Reconstruction of microbial transcriptional regulatory networks
    • Herrgard, M.J., M.W. Covert B.O. Palsson. 2004. Reconstruction of microbial transcriptional regulatory networks. Curr. Opin. Biotech. 15 : 70 77.
    • (2004) Curr. Opin. Biotech. , vol.15 , pp. 70-77
    • Herrgard, M.J.1    Covert, M.W.2    Palsson, B.O.3
  • 14
    • 33846400424 scopus 로고    scopus 로고
    • Large-scale mapping and validation of Escherichia coli transcriptional regulation from a compendium of expression profiles
    • Faith, J.J. et al. 2007. Large-scale mapping and validation of Escherichia coli transcriptional regulation from a compendium of expression profiles. PLoS Biol. 5 : 54 66.
    • (2007) PLoS Biol. , vol.5 , pp. 54-66
    • Faith, J.J.1
  • 15
    • 22844441552 scopus 로고    scopus 로고
    • Reverse engineering gene regulatory networks
    • Hartemink, A.J. 2005. Reverse engineering gene regulatory networks. Nat. Biotech. 23 : 554 555.
    • (2005) Nat. Biotech. , vol.23 , pp. 554-555
    • Hartemink, A.J.1
  • 16
    • 33749825955 scopus 로고    scopus 로고
    • Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks
    • Werhli, A.V., M. Grezegorczyk D. Husmeier. 2006. Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks. Bioinformatics 22 : 2523 2531.
    • (2006) Bioinformatics , vol.22 , pp. 2523-2531
    • Werhli, A.V.1    Grezegorczyk, M.2    Husmeier, D.3
  • 17
    • 33750016109 scopus 로고    scopus 로고
    • Inferring Gene regulatory networks from multiple microarray datasets
    • Wang, Y. et al. 2006. Inferring Gene regulatory networks from multiple microarray datasets. Bioinformatics 22 : 2413 2420.
    • (2006) Bioinformatics , vol.22 , pp. 2413-2420
    • Wang, Y.1
  • 18
    • 0142179209 scopus 로고    scopus 로고
    • Prediction of regulatory networks: Genome-wide identification of transcription factor targets from gene expression data
    • Qian, J. et al. 2003. Prediction of regulatory networks: genome-wide identification of transcription factor targets from gene expression data. Bioinformatics 19 : 1917 1926.
    • (2003) Bioinformatics , vol.19 , pp. 1917-1926
    • Qian, J.1
  • 19
    • 33750384429 scopus 로고    scopus 로고
    • SEBINI: Software Environment for Biological Network Inference
    • Taylor, R.C. et al. 2006. SEBINI: Software Environment for Biological Network Inference. Bioinformatics 21 : 2706 2708.
    • (2006) Bioinformatics , vol.21 , pp. 2706-2708
    • Taylor, R.C.1
  • 20
    • 47349098909 scopus 로고    scopus 로고
    • Proceedings of the Workshop on Machine Learning in Biomedicine and Bioinformatics of the Sixth International Conference on Machine Learning and Applications (ICMLA '07). December 13-15, 2007. Cincinnati, Ohio
    • Taylor, R.C. et al. 2007. SEBINI-CABIN: an analysis pipeline for biological network inference, with a case study in protein-protein interaction network reconstruction. Proceedings of the Workshop on Machine Learning in Biomedicine and Bioinformatics of the Sixth International Conference on Machine Learning and Applications (ICMLA '07), December 13-15, 2007, Cincinnati, Ohio 587 593.
    • (2007) SEBINI-CABIN: An Analysis Pipeline for Biological Network Inference, with A Case Study in Protein-protein Interaction Network Reconstruction , pp. 587-593
    • Taylor, R.C.1
  • 21
    • 0242490780 scopus 로고    scopus 로고
    • Cytoscape: A software environment for integrated models of biomolecular interaction networks
    • Shannon, P. et al. 2003. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 13 : 2498 2504.
    • (2003) Genome Res. , vol.13 , pp. 2498-2504
    • Shannon, P.1
  • 22
    • 34248590125 scopus 로고    scopus 로고
    • CABIN: Collective Analysis of Biological Interaction Networks
    • Singhal, M. K. Domico. 2007. CABIN: Collective Analysis of Biological Interaction Networks. Comput. Biol. Chem. 31 : 222 225.
    • (2007) Comput. Biol. Chem. , vol.31 , pp. 222-225
    • Singhal, M.1    Domico, K.2
  • 24
    • 34247875975 scopus 로고    scopus 로고
    • Evaluation of gene-expression clustering via mutual information distance measure
    • doi:.
    • Priness, I., O. Mainmon I. Ben-Gal. 2007. Evaluation of gene-expression clustering via mutual information distance measure. BMC Bioinformatics 8 : doi :.
    • (2007) BMC Bioinformatics , vol.8
    • Priness, I.1    Mainmon, O.2    Ben-Gal, I.3
  • 25
    • 29444444918 scopus 로고    scopus 로고
    • Information-based clustering
    • Slonim, N. et al. 2005. Information-based clustering. PNAS 102 : 18297 18302.
    • (2005) PNAS , vol.102 , pp. 18297-18302
    • Slonim, N.1
  • 26
    • 33947305781 scopus 로고    scopus 로고
    • ARACNE: An algorithm for the reconstruction of gene regulatory networks in a mammalian cellular context
    • Margolin, A.A. et al. 2006. ARACNE: an algorithm for the reconstruction of gene regulatory networks in a mammalian cellular context. BMC Bioinformatics 7 : S1 7.
    • (2006) BMC Bioinformatics , vol.7 , pp. 1-7
    • Margolin, A.A.1
  • 27
    • 33750353888 scopus 로고    scopus 로고
    • Reverse engineering cellular networks
    • Margolin, A.A. et al. 2006. Reverse engineering cellular networks. Nat. Protocols 1 : 663 672.
    • (2006) Nat. Protocols , vol.1 , pp. 663-672
    • Margolin, A.A.1
  • 28
    • 63849257557 scopus 로고    scopus 로고
    • Inference of regulatory gene interactions from expression data using three-way mutual information
    • The Challenges of Systems Biology: Community Efforts to Harness Biological Complexity. In press.
    • Watkinson, J. et al. 2009. Inference of regulatory gene interactions from expression data using three-way mutual information. Ann. N. Y. Acad. Sci. The Challenges of Systems Biology: Community Efforts to Harness Biological Complexity. In press.
    • (2009) Ann. N. Y. Acad. Sci.
    • Watkinson, J.1
  • 29
    • 13244267007 scopus 로고    scopus 로고
    • Estimating mutual information using B-spline functions - An improved similarity measure for analysing gene expression data
    • In
    • Daub, C.O. et al. 2004. Estimating mutual information using B-spline functions - an improved similarity measure for analysing gene expression data. In BMC Bioinformatics, Vol. 5.
    • (2004) BMC Bioinformatics , vol.5
    • Daub, C.O.1
  • 30
    • 0344464762 scopus 로고    scopus 로고
    • Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networks
    • Husmeier, D. 2003. Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networks. Bioinformatics 19 : 2271 2282.
    • (2003) Bioinformatics , vol.19 , pp. 2271-2282
    • Husmeier, D.1
  • 31
    • 33846097712 scopus 로고    scopus 로고
    • Bayesian learning of sparse gene regulatory networks
    • Chan, Z.S.H., L. Collins N. Kasabov. 2007. Bayesian learning of sparse gene regulatory networks. BioSystems 87 : 299 306.
    • (2007) BioSystems , vol.87 , pp. 299-306
    • Chan, Z.S.H.1    Collins, L.2    Kasabov, N.3
  • 32
    • 0038492417 scopus 로고    scopus 로고
    • A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae)
    • Troyanskaya, O.G. et al. 2003. A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae). Proc. Natl. Acad. Sci. USA. 100 : 8348 8353.
    • (2003) Proc. Natl. Acad. Sci. USA. , vol.100 , pp. 8348-8353
    • Troyanskaya, O.G.1
  • 34
    • 46249125518 scopus 로고    scopus 로고
    • A Bayesian estimator of protein-protein association probabilities
    • Gilmore, J. et al. 2008. A Bayesian estimator of protein-protein association probabilities. Bioinformatics 24 : 1544 1545.
    • (2008) Bioinformatics , vol.24 , pp. 1544-1545
    • Gilmore, J.1
  • 35
    • 34948893454 scopus 로고    scopus 로고
    • Statistically inferring protein-protein associations with affinity isolation LC-MS/MS assays
    • Sharp, J.L. et al. 2007. Statistically inferring protein-protein associations with affinity isolation LC-MS/MS assays. J. Proteome Res. 6 : 3788 3795.
    • (2007) J. Proteome Res. , vol.6 , pp. 3788-3795
    • Sharp, J.L.1
  • 36
    • 0033930882 scopus 로고    scopus 로고
    • BIND: A data specification for storing and describing biomolecular interactions, molecular complexes and pathways
    • Bader, G.D. C.W. Hogue. 2000. BIND: A data specification for storing and describing biomolecular interactions, molecular complexes and pathways. Bioinformatics 16 : 465 477.
    • (2000) Bioinformatics , vol.16 , pp. 465-477
    • Bader, G.D.1    Hogue, C.W.2
  • 37
    • 0036088133 scopus 로고    scopus 로고
    • DIP, the database of interacting proteins: A research tool for studying cellular networks of protein interactions
    • Xenarios, I. et al. 2002. DIP, the database of interacting proteins: a research tool for studying cellular networks of protein interactions. Nucleic Acids Res. 30 : 303 305.
    • (2002) Nucleic Acids Res. , vol.30 , pp. 303-305
    • Xenarios, I.1
  • 38
    • 0029965794 scopus 로고    scopus 로고
    • Salmonellosis: Host immune responses and bacterial virulence determinants
    • Jones, B.D. S. Falkow. 1996. Salmonellosis: host immune responses and bacterial virulence determinants. Annu. Rev. Immunol. 14 : 533 561.
    • (1996) Annu. Rev. Immunol. , vol.14 , pp. 533-561
    • Jones, B.D.1    Falkow, S.2
  • 39
    • 0034002680 scopus 로고    scopus 로고
    • Dual role for macrophages in vivo in pathogenesis and control of murine Salmonella enterica var. Typhimurium infections
    • Wijburg, O.L. et al. 2000. Dual role for macrophages in vivo in pathogenesis and control of murine Salmonella enterica var. Typhimurium infections. Eur. J. Immunol. 30 : 944 953.
    • (2000) Eur. J. Immunol. , vol.30 , pp. 944-953
    • Wijburg, O.L.1
  • 40
    • 0011736531 scopus 로고
    • Mutants of Salmonella typhimurium that cannot survive within the macrophage are avirulent
    • Fields, P.I. et al. 1986. Mutants of Salmonella typhimurium that cannot survive within the macrophage are avirulent. Proc. Natl. Acad. Sci. USA 83 : 5189 5193.
    • (1986) Proc. Natl. Acad. Sci. USA , vol.83 , pp. 5189-5193
    • Fields, P.I.1
  • 41
    • 1542287343 scopus 로고    scopus 로고
    • Superfamilies of evolved and designed networks
    • Milo, R. et al. 2004. Superfamilies of evolved and designed networks. Science 303 : 1538 1542.
    • (2004) Science , vol.303 , pp. 1538-1542
    • Milo, R.1
  • 42
    • 0037174670 scopus 로고    scopus 로고
    • Network motifs: Simple building blocks of complex networks
    • Milo, R. et al. 2002. Network motifs: simple building blocks of complex networks. Science 298 : 824 827.
    • (2002) Science , vol.298 , pp. 824-827
    • Milo, R.1
  • 43
    • 33645542678 scopus 로고    scopus 로고
    • Manipulating cellular transport and immune responses: Dynamic interactions between intracellular Salmonella enterica and its host cells
    • Abrahams, G.L. M. Hensel. 2006. Manipulating cellular transport and immune responses: dynamic interactions between intracellular Salmonella enterica and its host cells. Cell Microbiol. 8 : 728 737.
    • (2006) Cell Microbiol. , vol.8 , pp. 728-737
    • Abrahams, G.L.1    Hensel, M.2
  • 44
    • 33846064113 scopus 로고    scopus 로고
    • NCBI GEO: Mining tens of millions of expression profiles-database and tools update
    • Barrett, T. et al. 2007. NCBI GEO: mining tens of millions of expression profiles-database and tools update. Nucleic acids Res. 35 : D760 D765.
    • (2007) Nucleic Acids Res. , vol.35
    • Barrett, T.1
  • 45
    • 39749194466 scopus 로고    scopus 로고
    • Proteomics analysis of the causative agent of typhoid fever
    • Ansong, C. et al. 2008. Proteomics analysis of the causative agent of typhoid fever. J. Proteome Res. 7 : 546 557.
    • (2008) J. Proteome Res. , vol.7 , pp. 546-557
    • Ansong, C.1
  • 46
    • 34247379130 scopus 로고    scopus 로고
    • Targeted protein degradation by Salmonella under phagosome-mimicking culture conditions investigated using comparative peptidomics
    • Manes, N.P. et al. 2007. Targeted protein degradation by Salmonella under phagosome-mimicking culture conditions investigated using comparative peptidomics. Mol. Cell Proteomics 6 : 717 727.
    • (2007) Mol. Cell Proteomics , vol.6 , pp. 717-727
    • Manes, N.P.1
  • 47
    • 33748322018 scopus 로고    scopus 로고
    • Analysis of the Salmonella typhimurium proteome through environmental response toward infectious conditions
    • Adkins, J.N. et al. 2006. Analysis of the Salmonella typhimurium proteome through environmental response toward infectious conditions. Mol. Cell Proteomics 5 : 1450 1461.
    • (2006) Mol. Cell Proteomics , vol.5 , pp. 1450-1461
    • Adkins, J.N.1
  • 48
    • 33749424678 scopus 로고    scopus 로고
    • Proteomic analysis of Salmonella enterica serovar typhimurium isolated from RAW 264.7 macrophages: Identification of a novel protein that contributes to the replication of serovar typhimurium inside macrophages
    • Shi, L. et al. 2006. Proteomic analysis of Salmonella enterica serovar typhimurium isolated from RAW 264.7 macrophages: identification of a novel protein that contributes to the replication of serovar typhimurium inside macrophages. J. Biol. Chem. 281 : 29131 29140.
    • (2006) J. Biol. Chem. , vol.281 , pp. 29131-29140
    • Shi, L.1
  • 50
    • 21244433968 scopus 로고    scopus 로고
    • Sensing wetness: A new role for the bacterial flagellum
    • Wang, Q. et al. 2005. Sensing wetness: a new role for the bacterial flagellum. Embo J. 24 : 2034 2042.
    • (2005) Embo J. , vol.24 , pp. 2034-2042
    • Wang, Q.1
  • 51
    • 0034960264 scopus 로고    scopus 로고
    • Missing value estimation methods for DNA microarrays
    • Troyanskaya, O. et al. 2001. Missing value estimation methods for DNA microarrays. Bioinformatics 17 : 520 525.
    • (2001) Bioinformatics , vol.17 , pp. 520-525
    • Troyanskaya, O.1
  • 52
    • 0033982936 scopus 로고    scopus 로고
    • KEGG: Kyoto encyclopedia of genes and genomes
    • Kanehisa, M. S. Goto. 2000. KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 28 : 27 30.
    • (2000) Nucleic Acids Res. , vol.28 , pp. 27-30
    • Kanehisa, M.1    Goto, S.2
  • 53
    • 0034074744 scopus 로고    scopus 로고
    • Salmonella pathogenicity island 2
    • Hensel, M. 2000. Salmonella pathogenicity island 2. Mol Microbiol. 36 : 1015 1023.
    • (2000) Mol Microbiol. , vol.36 , pp. 1015-1023
    • Hensel, M.1
  • 54
    • 0034465931 scopus 로고    scopus 로고
    • Sips, Sops, and SPIs but not stn influence Salmonella enteropathogenesis
    • Wallis, T.S. et al. 1999. Sips, Sops, and SPIs but not stn influence Salmonella enteropathogenesis. Adv. Exp. Med. Biol. 473 : 275 280.
    • (1999) Adv. Exp. Med. Biol. , vol.473 , pp. 275-280
    • Wallis, T.S.1
  • 55
    • 0034017597 scopus 로고    scopus 로고
    • The flagellar sigma factor FliA (sigma(28)) regulates the expression of Salmonella genes associated with the centisome 63 type III secretion system
    • Eichelberg, K. J.E. Galan. 2000. The flagellar sigma factor FliA (sigma(28)) regulates the expression of Salmonella genes associated with the centisome 63 type III secretion system. Infect. Immun. 68 : 2735 2743.
    • (2000) Infect. Immun. , vol.68 , pp. 2735-2743
    • Eichelberg, K.1    Galan, J.E.2
  • 56
    • 20244365945 scopus 로고    scopus 로고
    • Co-regulation of Salmonella enterica genes required for virulence and resistance to antimicrobial peptides by SlyA and PhoP/PhoQ
    • Navarre, W.W. et al. 2005. Co-regulation of Salmonella enterica genes required for virulence and resistance to antimicrobial peptides by SlyA and PhoP/PhoQ. Mol. Microbiol. 56 : 492 508.
    • (2005) Mol. Microbiol. , vol.56 , pp. 492-508
    • Navarre, W.W.1
  • 57
    • 0035282595 scopus 로고    scopus 로고
    • Restricted growth of ent(-) and tonB mutants of Salmonella enterica serovar Typhi in human Mono Mac 6 monocytic cells
    • Gorbacheva, V.Y. et al. 2001. Restricted growth of ent(-) and tonB mutants of Salmonella enterica serovar Typhi in human Mono Mac 6 monocytic cells. FEMS Microbiol. Lett. 196 : 7 11.
    • (2001) FEMS Microbiol. Lett. , vol.196 , pp. 7-11
    • Gorbacheva, V.Y.1
  • 58
    • 0034011357 scopus 로고    scopus 로고
    • Interactions among components of the Salmonella flagellar export apparatus and its substrates
    • Minamino, T. R.M. MacNab. 2000. Interactions among components of the Salmonella flagellar export apparatus and its substrates. Mol. Microbiol. 35 : 1052 1064.
    • (2000) Mol. Microbiol. , vol.35 , pp. 1052-1064
    • Minamino, T.1    MacNab, R.M.2
  • 59
    • 0031056081 scopus 로고    scopus 로고
    • The nucleoside-specific Tsx channel from the outer membrane of Salmonella typhimurium, Klebsiella pneumoniae and Enterobacter aerogenes: Functional characterization and DNA sequence analysis of the tsx genes
    • Nieweg, A. E. Bremer. 1997. The nucleoside-specific Tsx channel from the outer membrane of Salmonella typhimurium, Klebsiella pneumoniae and Enterobacter aerogenes: functional characterization and DNA sequence analysis of the tsx genes. Microbiology 143 (Pt 2 603 615.
    • (1997) Microbiology , vol.143 , pp. 603-615
    • Nieweg, A.1    Bremer, E.2
  • 60
    • 40349098615 scopus 로고    scopus 로고
    • Nucleotide biosynthesis is critical for growth of bacteria in human blood
    • Samant, S. et al. 2008. Nucleotide biosynthesis is critical for growth of bacteria in human blood. PLoS Pathog. 4 : e37.
    • (2008) PLoS Pathog. , vol.4 , pp. 37
    • Samant, S.1
  • 61
    • 0043122992 scopus 로고    scopus 로고
    • Bioverse: Functional, structural, and contextual annotation of proteins and proteomes
    • McDermott, J. R. Samudrala. 2003. Bioverse: functional, structural, and contextual annotation of proteins and proteomes. Nucleic Acids Res. 31 : 3736 3737.
    • (2003) Nucleic Acids Res. , vol.31 , pp. 3736-3737
    • McDermott, J.1    Samudrala, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.