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  • Ahn, A.C., Tewari, M., Poon, C. S. and Phillips, R.S. (2006) ‘The limits of reductionism in medicine: could systems biology offer an alternative?’, PLoS Medicine, Vol. 3, No. 6, p.e208.
  • Alon, U. (2003) ‘Biological networks: the tinkerer as an engineer’, Science, Vol. 30, No. 5641, pp.1866–1867.
  • Asthagiri, A.R. and Lauffenburger, D.A. (2000) ‘Bioengineering models of cell signaling’, Annual Reviews of Biomedical Engineering, Vol. 2, pp.31–53.
  • Ayyadurai, V.A.S. (2011) ‘Services-based systems architecture for modeling the whole cell: adistributed collaborative engineering systems approach’, in Bos, L. et al. (Eds): Commun. Med. Care Compunetics, pp.115–168, Springer, Heidelberg.
  • Ayyadurai, V.A.S. and Dewey, C.F. (2011) ‘CytoSolve: a scalable computational method for dynamic integration of multiple molecular pathway models’, Cellular and Molecular Bioengineering, Vol. 4, No. 1, pp.28–45.
  • Bassingthwaighte, J.B., Chizeck, H.J., Atlasm, L.E. and Qian, H. (2005) ‘Multiscale modeling of cardiac cellular energetics’, Annals of New York Academy of Sciences, Vol. 1047, No. 6, pp.395–424.
  • Bhalla, U.S. (2003) ‘Understanding complex si gnaling networks through models and metaphors’, Progress in Biophysics Molecular Biology, Vol. 81, No. 1, pp.45–65.
  • Bhushan, P., Kalpana, J. and Arvind, C. (2005) ‘Classification of human population based on HLA gene polymorphism and the concept of Prakriti in Ayurveda’, Journal of Alternative & Complementary Medicine, Vol. 11, No. 2, pp.349–353.
  • Binder, L. (2013) The Five Biggest Problems in Health Care Today, Forbes, 21 February [online] (accessed 27 June 2014).
  • Bosl, W.J. (2007) ‘Systems biology by the rules: hybrid intelligent systems for pathway modeling and discovery’, BMC Systems Biology, Vol. 1 No. 1, p.13.
  • Boulding, K.E. (1953) The Organization Revolution: A Study in The Ethics of Economic Organization, Harper, New York.
  • Boulding, K.E. (1956) ‘General systems theory – the skeleton of science’, General Systems, Vol. 1, No. 1, pp.11–17.
  • Bunnage, M. (2011) ‘Getting pharmaceutical R&D back on target’, Nature Chemical Biology, Vol. 7, No. 6, pp.335–339.
  • Cannon, W.B. (1933) The Wisdom of the Body, Norton, New York.
  • Castellani, R.J., Zhu, X., Lee, H.G., Smith, M.A. and Perry, G. (2009) ‘Molecular pathogenesis of Alzheimer’s disease: reductionist versus expansionist approaches’, International Journal of Molecular Sciences, Vol. 10, No. 3, pp.1386–1406.
  • Classen, D.C., Resar, R., Griffin, F., Federico, F ., Frankel, T., Kimmel, N. and James, B.C. (2011) ‘‘Global trigger tool’ shows that adverse events in hospitals may be ten times greater than previously measured’, Health Affairs , Vol. 30, No. 4, pp.581–589.
  • Decraene, J., Mitchell, G.G. and McMullin, B. (2007) ‘Evolvi ng artificial cell signaling networks: perspectiv es and methods’, Advances in Biologically In spired Information Systems, pp.165–184, Springer, Berlin, Heidelberg.
  • Dhurjati, P. and Mahadevan, R. (2008) ‘Systems biology: the synergistic interplay between biology and mathematics’, The Canadian Journal of Chemical Engineering , Vol. 86, No. 2, pp.27–141.
  • Downs, J. (2008) Discovery at Rosetta: The Ancient Stone that Unlocked the Mysteries of Ancient Egypt , Skyhorse Publishing, New York.
  • Duarte, N.C., Becker, S.A., Jamshidi, N., Thiele, I., Mo, M.L., Vo, T.D., Srivas, R. and Palsson, B.O. (2007) ‘Global reconstruction of the human metabolic network based on genomic and bibliomic data’, Proceedings of National Academy of Sciences , Vol. 104, pp.1777–1782.
  • Ehrenreich, J. (Ed.) (1978) The Cultural Crisis of Modern Medicine , Monthly Review Press, New York.
  • Fritts, M., Crawford, C.C., Quibell, D., Gupta, A., Jonas, W. B., Coulter, I. and Andrade, S.A. (2008) ‘Traditional Indian medicine and ho meopathy for HIV/AIDS: a review of the literature’, AIDS Research and Therapy , Vol. 5, No. 1, p.25.
  • Glynn, L.G. and Scully, R. (2010) ‘The edge of chaos: reductionism in healthcare and health professional training’, International Journal of Clinical Practice , Vol. 64, No. 6, pp.669–672.
  • Hankey, A. (2005) ‘CAM modalities can stim ulate advances in theoretical biology’, Evid. Based Complement Alternat. Med. , Vol. 2, No. 1, pp.5–12.
  • Harper, M. (2013) The Five Biggest Problems in Health Care Today , Forbes, 11 August [online] (accessed 28 June 2014).
  • Hartman, M., Martin, A., Benson, J., Catlin, A. and the National Health Expenditure Accounts Team (2013) ‘National health spending in 2011: ove rall growth remains low, but some payers and services show si gns of acceleration’, Health Affairs , Vol. 32, No. 1, pp.87–99.
  • Hodgkin, J. (2001) ‘What does a worm want with 20,000 genes?’, Genome Biology , Vol. 2, No. 11, pp.1–4.
  • Hood, L., Heath, J.R., Phelps, M. E. and Lin, B. (2014) ‘Molecular structure of nucleic acids; a structure for deoxyribose nucleic acid’, Nature , Vol. 171, No. 4356, pp.737–738.
  • Hornberg, J.J., Bruggeman, F.J., Westerhoff, H.V. and Lankelma, J. (2006) ‘Cancer: a systems biology disease’, Biosystems , Vol. 83, No. 2, pp.81–90.
  • Hunter, P.J. and Borg, T.K. (2003) ‘Integration from proteins to organs: the Physiome Project’, Nature Reviews Molecular Cell Biology , Vol. 4, No. 3, pp.237–243.
  • Ideker, T., Galitski, T. and Hood, L. (2001) ‘A new approach to decoding life: systems biology’, Annual Review of Genomics and Human Genetics , Vol. 2, No. 1, pp.343–372.
  • Keller, E.F. (2007) ‘A clash of two cultures’, Nature , Vol. 445, No. 2, p.603.
  • Kessel, F. and Rosenfield, P.L. (2008) ‘Towar d transdisciplinary research: historical and contemporary perspectives’, American Journal of Preventive Medicine , Vol. 35, No. 2, pp.S225–S234.
  • Kitano, H. (2000) ‘Perspectives on systems biology’, New Generation Computing , Vol. 18, No. 3, pp.199–216.
  • Kitano, H. (2001) Foundations of Systems Biology , The MIT Press, Cambridge.
  • Kitney, R. and Dollery, C. (2007) ‘Systems biol ogy: a vision for engineering and medicine’, in Klipp, E. and Liebermeister, W. (Eds.), Engineering , The Academy of Medical Sciences and The Royal Academy of Engineering, London, UK.
  • Klipp, E. and Liebermeister, W. (2006) ‘Mat hematical modeling of intracellular signaling pathways’, BMC Neuroscience , Vol. 7, Supplement 1, p.S10.
  • Klir, G.J. (1972) Trends in General Systems Theory , Wiley-Interscience, New York.
  • Landrigan, C.P., Parry, G.J., Bones, C.B., Hac kbarth, A.D., Goldmann, D.A. and Sharek, P.J. (2010) ‘Temporal trends in rates of pa tient harm resulting from medical care’, New England Journal of Medicine , Vol. 363, No. 22, pp.2124–2134.
  • Lauffenburger, D.A. (2000) ‘Cell signaling pa thways as control modules: complexity for simplicity?’, Proceedings of National Academy of Sciences , Vol. 97, No. 10, pp.5031–5033.
  • Levinson, D.R. and General, I. (2010) Adverse Events in Hospitals: National Incidence Among Medicare Beneficiaries , Department of Health & Hu man Services, Washington, DC.
  • Ma’ayan, A., Jenkins, S.L., Neves, S., Hasseldine, A., Grace, E., Dubin-Thaler, B., Eungdamrong, N.J., Weng, G., Ram, P.T., Rice, J.J., Kers henbaum, A., Stolovitzky, G.A., Blitzer, R.D. and Iyengar, R. (2005) ‘Forma tion of regulatory patterns during signal propagation in a Mammalia n cellular network’, Science , Vol. 30, No. 5737, pp.1078–1083.
  • Magee, C.L. and de Weck, O.L. (2004) ‘Complex system classification’, Paper presented at Fourteenth Annual Internat ional Symposium of the International Council on Systems Engineering (INCOSE) , 20 June to 24 June 2004.
  • Mandel, J., Palfreyman, N.M., Lopez, J.A. and D ubitzky, W. (2004) ‘Representing bioinformatics causality’, Briefings in Bioinformatics , Vol. 5, No. 3, pp.270–283.
  • Menon, V.P. and Prince, P.S.M. (2005) ‘A yurvedic, Siddha, and Tribal Medicine’, Traditional Medicines for Modern Times: Antidiabetic Plants , Taylor and Francis, Florida.
  • Miles, A. (2009) ‘On a medicine of the whole person: away from scientistic reductionism and towards the embrace of the complex in clinical practice’, Journal of Evaluation in Clinical Practice , Vol. 15, No. 6, pp.941–949.
  • Miller, J.G. (1978) Living Systems , McGraw-Hill, New York.
  • Morgan, J.J., Surovtsev, I.V. and Lindahl, PA. (2004) ‘A framework for whole-cell mathematical modelling’, Journal of Theoretical Biology , Vol. 231, No. 4, pp.581–596.
  • Mukherjee, P.K. (2001) ‘Evaluation of Indian traditional medicine’, Drug Information Journal , Vol. 35, No. 2, pp.623–632.
  • Mukherjee, P.K. and Wahile, A. (2006) ‘Integrat ed approaches towards drug development from Ayurveda and other Indian system of medicines’, Journal of Ethnopharmacology , Vol. 103, No. 1, pp.25–35.
  • Mulej, M. (2007) ‘Systems theory: a worldv iew and/or a methodolog y aimed at requisite holism/realism of humans’ thi nking, decisions and action’, Systems Research and Behavioral Science , Vol. 24, No. 3, pp.347–357.
  • Noble, D. (2006) ‘Systems biology and the heart’, Biosystems , Vol. 83, No. 2, pp.75–80.
  • Ogata, K. (1997) Modern Control Engineering , Prentice Hall, New York.
  • Oltvai, Z.N. and Barabasi, A.L. (2002) ‘Syste ms biology: life’s complexity pyramid’, Science, Vol. 298, No. 5594, pp.763–764.
  • Patil, S.B., Patil, M.S., Chittam, K.P. and Wagh, R.D. (2014) ‘A review on Ayurveda and Siddha: Indian systems of medicine’, Pharma Science Monitor , Vol. 5, No. 2, pp.40–49.
  • Patwardhan, B., Vaidya, A., Chorghade, M. and Joshi, S. (2008) ‘Reverse pharmacology and systems approaches for drug discovery and development’, Current Bioactive Compounds , Vol. 4, No. 4, pp.201–212.
  • Patwardhan, B., Warude, D., Pus hpangadan, P. and Bhatt, N. ( 2005) ‘Ayurveda and traditional Chinese medicine: a comparative overview’, Oxford Journals Medicine Evidence-based Complementary and Al ternative Medicine , Vol. 2, No. 4, pp.465–473.
  • Pennisi, E. (2003) ‘A low number wins the GeneSweep pool’, Science , Vol. 300, No. 5625, p.1484.
  • Peterson, R.T. (2008) ‘Chemical biolog y and the limits of reductionism’, Nature Chemical Biology, Vol. 4, No. 11, pp.635–638.
  • Putnam, N.H., Srivastava, M., Hellsten, U., Dirks, B., Chapman, J., Salamov, A., Terry, A., Shapiro, H., Lindquist, E., Kapitonov, V., Jurka, J., Genikhovich, G., Grigoriev, I., Lucas, S., Steele, R., Finnerty, J., Techna u, U., Martindale, M. and R okhsar, D. (2007) ‘Sea anemone genome reveals ancestral eumetazoan gene repertoire and genomic organization’, Science , Vol. 317, No. 5834, pp.86–94.
  • Rastogi, S. and Chiappelli, F. (2010) ‘Bri nging evidence basis to decision making in complementary and alternative medicine (CAM): pr akriti (constitution) analysis in Ayurveda’, Evidence-Based Practice: Toward Optimizing Clinical Outcomes , pp.91–106, Springer, Berlin, Heidelberg.
  • Rioux, J. (2012) ‘A complex, nonlinear dynamic systems perspective on Ayurveda and Ayurvedic research’, J. Altern. Complement. Med. , Vol. 18, No. 7, pp.709–718.
  • Saraswati, S.S. and Nikoli ü , N. (1984) Kundalini Tantra , Golden Jubilee ed., Bihar School of Yoga, Bihar, India.
  • Sauro, H.M. and Kholodenko, B.N. (2004) ‘Qua ntitative analysis of signalling networks’, Progress in Biophysical Molecular Biology , Vol. 86, No. 1, pp.5–43.
  • Sawyer, R.K. (2005) Social Emergence: Societies as Complex Systems , Cambridge University Press, Chicago.
  • Schaffner, K.F. (1969) ‘The Watson- Crick model and reductionism’, British Journal for the Philosophy of Science , Vol. 20, No. 4, pp.325–348.
  • Scharfe, H. (1999) ‘The doctrine of the three humo rs in traditional Indian medicine and the alleged antiquity of Tamil Siddha medicine’, Journal of the American Oriental Society , Vol. 119, No. 4, pp.609–629.
  • Schlundt, D.J. (2011) ‘Reductionism and complex sy stems science: implicat ions for translation research in the health and behavioral sciences’, Paper presented at CRC Research Skills , 20 January 2011, Nashville, TN.
  • Schuler, G.D., Boguski, M.S., Stew art, E.A., Stein, L.D., Gyapay , G., Rice, K. and Page, D.C. (1996) ‘A gene map of the human genome’, Science , Vol. 274, No. 5287, pp.540–546.
  • Seeman, N.C. and Belcher, A.M. (2002) ‘Emula ting biology: building nanostructures from the bottom up’, Proceedings of National Academy of Sciences , Vol. 99, Supplement 2, pp.6451–6455.
  • Sharma, H., Chandola, H.M., Singh, G. and Basish t, G. (2007) ‘Utilization of Ayurveda in health care: an approach for prevention, health promotio n, and treatment of disease. Part 1-Ayurveda, the science of life’, The Journal of Alternative and Complementary Medicine , Vol. 13, No. 9, pp.1011–1020.
  • Snoep, J.L., Bruggeman, F., Olivier, B.G. and Westerhoff, H.V. (2006) ‘Towards building the silicon cell: a modular approach’, Biosystems , Vol. 83, No. 2, pp.207–216.
  • Subbarayappa, B.V. (1997) ‘Si ddha medicine: an overview’, Lancet , Vol. 350, No. 12, pp.1841–1844.
  • Symons, N., Almoudaris, A., Nagpal, K., Vincent, C. and Moorthy, K. (2013) ‘An observational study of the frequency, severity, and etiology of failures in postoperative care after major elective general surgery’, Annals of Surgery , Vol. 257, No. 1, pp.1–5.
  • Tindle, H.A., Davis, R.B., Ph illips, R.S. and Eisenberg, D.M. (2004) ‘Trends in use of complementary and alternative me dicine by US adults: 1997–2002’, Alternative Therapies in Health and Medicine , Vol. 11, No. 1, pp.42–49.
  • van Wyk, R.J. (1984) ‘Panamoric scanni ng and the technological environment’, Technovation , Vol. 2, No. 2, p.121.
  • Vogel, H.G. (1991) ‘Similarities between various systems of trad itional medicine. Considerations for the future of ethnopharmacology’, Journal of Ethnopharmacology , Vol. 35, No. 2, pp.179–190.
  • von Bertalanffy, L. (1968) General System Theory , George Braziller, Inc., New York.
  • Watson, J. and Crick, F. (2014) ‘Molecular structure of nucleic aci ds; a structure for deoxyribose nucleic acid’, Nature , Vol. 171, No. 4356, pp.737–738.
  • Welsby, P.D. (1999) ‘Reductionism in medici ne: some thoughts on medical education from the clinical front line’, Journal of Evaluation in Clinical Practice , Vol. 5, No. 2, pp.125–131.
  • Weston, A.D. and Hood, L. (2004) ‘Systems biology, proteomics, and the future of health care: toward predictive, preventative, and personalized medicine’, Journal of Proteome Research , Vol. 3, No. 2, pp.179–196.
  • Wiener, N. (1948) Cybernetics or Control and Communication in the Animal Machine , The MIT Press, Cambridge.
  • Williams, N. (1997) ‘Biologists cut reductionist approach down to size’, Science , Vol. 277, No. 5325, pp.476–477.
  • Willmann, J.K., van Bruggen, N., Dinkelborg, L.M. and Gambhir, S.S. (2008) ‘Molecular imaging in drug development’, Nature Reviews Drug Discovery , Vol. 7, No. 7, pp.591–607.
  • Woodcock, J. (2007) ‘The prospect s for ‘personalized medicine’, Drug Development and Drug Therapy , Vol. 81, No. 2, pp.64–169.
  • Yadav, P. (2014) ‘An etiological study (Nidan) of Kamala with special reference to jaundice’, J. Homeop. Ayurv. Med. S ., Vol. 1, No. S1, pp.2167–1206.
  • Zhulin, I.B. (2009) ‘It is computation time for bacteriology!’, Journal of Bacteriology , Vol. 191, No. 1, pp.20–22.