On the industrialisation of biology

The times required to develop new drugs is growing continuously and most drugs fail in the development process because we lack the detailed knowledge of biology and physiology needed to understand the result of a proposed treatment. The problem is one of complexity—we do not know the full complexity of living organisms, neither does traditional biology have the language to capture and integrate complexity. As a result, the life sciences are undergoing a period of radical change as the technological and mathematical methods developed for the analysis of physical sciences are being adapted for use in understanding living systems. This introduction of quantitative mathematical methods to represent and understand a previously descriptive subject resembles the Newtonian revolution in physics and its subsequent impact upon industry and manufacture. And just as in the post-Newtonian developments, the new ways are being resisted as the traditional reductionist biologists argue against a system level analysis. The comparison between the industrial revolution and the emerging revolution in life sciences is so strong that it can be usefully employed to explain the current process—the industrialisation of biology—in a way that informs the traditionalist movement. In particular, we draw upon ideas from innovation cycles and the staging of change in science and industry to clarify the current change processes in life science. Using specific examples in technology development we outline lessons that can be learnt in order to smooth the process of change and make it a harmonious one, rather than one of conflict.

[1]  Charles R. Cantor,et al.  Genomics: The Science and Technology Behind the Human Genome Project , 1999 .

[2]  M. Pentecost,et al.  The Innovator's Solution: Warum manche Unternehmen erfolgreicher wachsen als andere , 2018 .

[3]  D. Grasso,et al.  Flow cytometry. , 1998, Methods in molecular medicine.

[4]  R. C. O. Matthews,et al.  The Long Wave in Economic Life. , 1982 .

[5]  J. A. Cantrell James Nasmyth and the Steam Hammer , 1984 .

[6]  Iain Pears An Instance of the Fingerpost , 1997 .

[7]  Arthur B. VanGundy,et al.  Techniques of structured problem solving , 1981 .

[8]  J. J. van Duijn,et al.  The long wave in economic life , 1982 .

[9]  O Wolkenhauer,et al.  A systems- and signal-oriented approach to intracellular dynamics. , 2005, Biochemical Society transactions.

[10]  L. Kamentsky,et al.  Spectrophotometer: New Instrument for Ultrarapid Cell Analysis , 1965, Science.

[11]  Mihajlo D. Mesarovic,et al.  Systems Theory and Biology , 1968 .

[12]  Mihajlo D. Mesarovic,et al.  Systems Theory and Biology­ View of a Theoretician * , 1968 .

[13]  Jean Gimpel,et al.  The medieval machine. The Industrial Revolution of the Middle Ages , 1978, Medical History.

[14]  A. Kansal,et al.  Application of predictive biosimulation within pharmaceutical clinical development: examples of significance for translational medicine and clinical trial design. , 2005, Systems biology.

[15]  Clayton M. Christensen The Innovator's Dilemma , 1997 .

[16]  C. Babbage Economy of Machinery and Manufactures , 1832 .

[17]  Karamjit S. Gill,et al.  Human Machine Symbiosis , 1996, Human-centred Systems.

[18]  Julius S. Bendat,et al.  Random Data - Analysis and Measurement Procedures - Second Edition (revised and expanded) , 1986 .

[19]  J. Bendat,et al.  Random Data: Analysis and Measurement Procedures , 1971 .

[20]  Petre Stoica,et al.  Decentralized Control , 2018, The Control Systems Handbook.

[21]  James N. Kyranos High throughput analysis for early drug discovery , 2004 .

[22]  F. Evans The Maudslay Touch: Henry Maudslay, Product of the Past and Maker of the Future , 1994 .

[23]  Ronald N. Kostoff,et al.  Science and technology roadmaps , 2001, IEEE Trans. Engineering Management.

[24]  J. F. Burdon Tools for the Job , 1966 .

[25]  Daniel C. Liebler,et al.  Introduction to Proteomics , 2002, Humana Press.

[26]  Michael C. Mackey,et al.  Mathematics, Biology, and Physics: Interactions and Interdependence , 2004, q-bio/0409001.

[27]  Christopher Edwards,et al.  Dynamic Sliding Mode Control for a Class of Systems with Mismatched Uncertainty , 2005, Eur. J. Control.

[28]  W. Stolper,et al.  The Long Waves in Economic Life , 1935 .

[29]  T. Kuhn,et al.  The Structure of Scientific Revolutions. , 1964 .

[30]  Philip D. Hodgkin,et al.  A cellular calculus for signal integration by T cells , 2000, Nature Immunology.

[31]  Ursula Klingmüller,et al.  Tests for cycling in a signalling pathway , 2004 .

[32]  R. Hooke Micrographia: Or Some Physiological Descriptions of Minute Bodies Made by Magnifying Glasses With Observations and Inquiries Thereupon , 2003 .

[33]  T S Eimerl,et al.  Tools for the job. , 1968, The Journal of the Royal College of General Practitioners.

[34]  G. Ekvall,et al.  Organizational Conditions and Levels of Creativity , 1997 .

[35]  C. Hadfield The canals of the West Midlands , 1985 .

[36]  Rune Matthiesen,et al.  Introduction to proteomics. , 2007, Methods in molecular biology.

[37]  Karamjit S. Gill,et al.  The Foundations of Human-centred Systems , 1996, Human Machine Symbiosis.

[38]  Henry S. Tropp,et al.  Charles Babbage: Pioneer of the Computer , 1984 .

[39]  J. Gribbin Science: A History 1543-2001 , 2002 .

[40]  A Moldavan,et al.  PHOTO-ELECTRIC TECHNIQUE FOR THE COUNTING OF MICROSCOPICAL CELLS. , 1934, Science.

[41]  R. Meredith Belbin,et al.  Team Roles at Work , 2022 .

[42]  David Angeli,et al.  Monotone control systems , 2003, IEEE Trans. Autom. Control..

[43]  I. Dunham Genome mapping and sequencing , 2003 .

[44]  William A. Hunter James Hargraves and the Invention of the Spinning Jenny , 1951 .

[45]  D. Noble Modeling the Heart--from Genes to Cells to the Whole Organ , 2002, Science.

[46]  E.D. Sontag,et al.  Molecular Systems Biology and Control: A Qualitative-Quantitative Approach , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[47]  H. Shapiro Practical Flow Cytometry: Shapiro/Flow Cytometry 4e , 2005 .

[48]  Howard M. Shapiro,et al.  Practical Flow Cytometry , 1985 .

[49]  Stuart Bennett,et al.  A History of Control Engineering 1800-1930 , 1979 .