skip to main content
article

Multimodal Networks: Structure and Operations

Published:01 April 2009Publication History
Skip Abstract Section

Abstract

A multimodal network (MMN) is a novel graph-theoretic formalism designed to capture the structure of biological networks and to represent relationships derived from multiple biological databases. MMNs generalize the standard notions of graphs and hypergraphs, which are the bases of current diagrammatic representations of biological phenomena and incorporate the concept of mode. Each vertex of an MMN is a biological entity, a biot, while each modal hyperedge is a typed relationship, where the type is given by the mode of the hyperedge. The current paper defines MMNs and concentrates on the structural aspects of MMNs. A companion paper develops MMNs as a representation of the semantics of biological networks and discusses applications of the MMNs in managing complex biological data. The MMN model has been implemented in a database system containing multiple kinds of biological networks.

References

  1. I. Pirson, N. Fortemaison, C. Jacobs, S. Dremier, J.E. Dumont, and C. Maenhaut, "The Visual Display of Regulatory Information and Networks," Trends in Cell Biology, vol. 10, pp. 404-408, 2000.Google ScholarGoogle ScholarCross RefCross Ref
  2. K. Fukuda and T. Takagi, "Knowledge Representation of Signal Transduction Pathways," Bioinformatics, vol. 17, no. 9, pp. 829-837, 2001.Google ScholarGoogle ScholarCross RefCross Ref
  3. S. Xanthoudakis and D.W. Nicholson, "Heat-Shock Proteins as Death Determinants," Nature Cell Biology, vol. 2, pp. E163-E165, 2000.Google ScholarGoogle ScholarCross RefCross Ref
  4. P. Holme, M. Huss, and H. Jeong, "Subnetwork Hierarchies of Biochemical Pathways," Bioinformatics, vol. 19, no. 4, pp. 532-538, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  5. S. Schuster, T. Pfeiffer, F. Moldenhauer, I. Koch, and T. Dandekar, "Exploring the Pathway Structure of Metabolism: Decomposition into Subnetworks and Application to Mycoplasma pneumoniae," Bioinformatics, vol. 18, no. 2, pp. 351-361, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  6. H. Ma and A.-P. Zeng, "Reconstruction of Metabolic Networks from Genome Data and Analysis of Their Global Structure for Various Organisms," Bioinformatics, vol. 19, no. 2, pp. 270-277, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  7. C.V. Forst, C. Flamm, I.L. Hofacker, and P.F. Stadler, "Algebraic Comparison of Metabolic Networks, Phylogenetic Inference, and Metabolic Innovation," BMC Bioinformatics, vol. 7, no. 67, Feb. 2006.Google ScholarGoogle Scholar
  8. L.S. Heath, "Networks in Bioinformatics," Proc. Int'l Symp. Parallel Architectures, Algorithms, and Networks (I-SPAN '02), pp. 141-150, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. A.A. Sioson and L.S. Heath, "Some Fundamental Operations on Multimodal Networks in Biology," Philippine Computing J., vol. 1, no. 2, pp. 13-22, Dec. 2006.Google ScholarGoogle Scholar
  10. L.S. Heath and A.A. Sioson, "Semantics of Multimodal Network Models," IEEE/ACM Trans. Computational Biology and Bioinformatics , vol. 6, no. 2, pp. 271-280, Apr.-June 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. A.A. Sioson, "Multimodal Networks in Biology," Virginia Polytechnic Inst. and State Univ., Nov. 2005.Google ScholarGoogle Scholar
  12. M. Stonebraker and G. Kemnitz, "The POSTGRES Next-Generation Database Management System," Comm. ACM, vol. 34, pp. 78- 92, 1991. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. M. Benjamins, C.D.R. Lindveld, and R. van Nes, "Multimodal Travel Choice Modeling Using a Supernetwork Approach," Proc. 81st Transportation Research Board Ann. Meeting, 2002.Google ScholarGoogle Scholar
  14. K. Uchida, A. Sumalee, D. Watling, and R. Connors, "Study on Optimal Frequency Design Problem for Multimodal Network Using Probit-Based User Equilibrium Assignment," Transportation Research Board, no. 1923, pp. 236-245, 2005.Google ScholarGoogle ScholarCross RefCross Ref
  15. H. Abrach, S. Bhatti, J. Carlson, H. Dai, J. Rose, A. Sheth, B. Shuckler, J. Deng, and R. Han, "Mantis: System Support for Multimodal Networks of In-Situ Sensors," Proc. Second ACM Int'l Workshop Wireless Sensor Networks and Applications (WSNA), 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. C. Berge, Hypergraphs. North-Holland, 1989.Google ScholarGoogle Scholar
  17. G. Gallo, G. Longo, S. Pallottino, and S. Nguyen, "Directed Hypergraphs and Applications," Discrete Applied Math., vol. 42, pp. 177-201, 1993. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. M.K. Campbell and S.O. Farrell, Biochemistry, fourth ed. Thomson Brooks/Cole, 2005.Google ScholarGoogle Scholar
  19. W.H. Elliott and D.C. Elliott, Biochemistry and Molecular Biology. Oxford Univ. Press, 1997.Google ScholarGoogle Scholar
  20. D.B. West, Introduction to Graph Theory, second ed. Prentice Hall, 2001.Google ScholarGoogle Scholar
  21. B.C. Pierce, Basic Category Theory for Computer Scientists (Foundations of Computing). MIT Press, 1991. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Kyoto Encyclopedia of Genes and Genomes (KEGG) Website, http://www.kegg.org/, 2008.Google ScholarGoogle Scholar
  23. J.-M. Bruey, C. Ducasse, P. Bonniaud, L. Ravagnan, S.A. Susin, C. Diaz-Latoud, S. Gurbuxani, A.-P. Arrigo, G. Kroemer, E. Solary, and C. Garrido, "HSP27 Negatively Regulates Cell Death by Interacting with Cytochrome c," Nature Cell Biology, vol. 2, pp. 645-652, 2000.Google ScholarGoogle ScholarCross RefCross Ref
  24. A. Saleh, S.M. Srinivasula, L. Balkir, and P.D. Robbins, "Negative Regulation of the APAF-1 Apoptosome by HSP70," Nature Cell Biology, vol. 2, pp. 476-483, 2000.Google ScholarGoogle ScholarCross RefCross Ref
  25. H.M. Beere, B.B. Wolf, K. Cain, D.D. Mosser, A. Mahboubi, T. Kuwana, P. Tailor, R.I. Morimoto, and G.M. Cohen, "Heat-Shock Protein 70 Inhibits Apoptosis by Preventing Recruitment of Procaspase-9 to the APAF-1 Apoptosome," Nature Cell Biology, vol. 2, pp. 469-475, 2000.Google ScholarGoogle ScholarCross RefCross Ref
  26. M. Kanehisa, S. Goto, S. Kawashima, and A. Nakaya, "The KEGG Databases at GenomeNet," Nucleic Acids Research, vol. 30, no. 1, pp. 42-46, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  27. M. Kanehisa, S. Goto, S. Kawashima, Y. Okuno, and M. Hattori, "The KEGG Resources for Deciphering the Genome," Nucleic Acids Research, vol. 32, pp. D277-D280, 2004.Google ScholarGoogle ScholarCross RefCross Ref
  28. R.G. Alscher, B.I. Chevone, L.S. Heath, and N. Ramakrishnan, "Expresso--A Problem Solving Environment for Bioinformatics: Finding Answers with Microarray Technology," Proc. High Performance Computing Symp., Advanced Simulation Technologies Conf. (HPC '01), pp. 64-69, 2001.Google ScholarGoogle Scholar
  29. A.A. Sioson, J.I. Watkinson, C. Vasquez-Robinet, M. Ellis, M. Shukla, D. Kumar, N. Ramakrishnan, L.S. Heath, R. Grene, B.I. Chevone, K. Kadafar, and L.T. Watson, "Expresso and Chips: Creating a Next Generation Microarray Experiment Management System," Proc. Int'l Parallel and Distributed Processing Symp. Next Generation Software Systems Workshop (IPDPS '03), p. 209b, Apr. 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Multimodal Networks: Structure and Operations

                Recommendations

                Comments

                Login options

                Check if you have access through your login credentials or your institution to get full access on this article.

                Sign in

                Full Access

                PDF Format

                View or Download as a PDF file.

                PDF

                eReader

                View online with eReader.

                eReader