Skip to main content
Log in

Molecular-biological machines: a defense

  • Published:
Biology & Philosophy Aims and scope Submit manuscript

Abstract

I offer a defense, albeit a qualified one, of machine analogies in biology, focusing on molecular contexts. The defense is rooted in my prior work (Levy in Philosopher’s Imprint 14(6), 2014), which construes the machine machine-likeness of a system as a matter of the extent to which it exhibits an internal division of labor. A concrete aim is to shore up the notion of molecular biological machines, paying special attention to processive molecular motors, such as Kinesin. But I will also try to show how the division of labor account gives us guidance more broadly, both about where and why machine analogies can be expected to prove helpful and about their limitations.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Notes

  1. Besides ‘division of labor’, in Levy (2014) I also used the phrase ‘causal order’. I’ve found that this terminology carries unintended connotations, especially in connection with the statistical mechanical concept of order. So I avoid it here.

  2. Some of the cases I discuss in this paper may, strictly speaking, be instances of metaphor or simile, rather than analogy. But I will not worry too much about distinctions within figurative devices.

  3. This condition doesn’t appear in Levy (2014). It is closely related to Skillings’ “isolatability” (2015, 1149–1150).

  4. Daniel Nicholson says that “confronted with a machine, one is justified in inferring the existence of an external creator responsible for producing it in accordance with a preconceived plan or design” (2013, 671). Nicholson’s argument rests on a distinction between intrinsic and extrinsic purposiveness, which I do not fully understand. But the key point I would make is that what is relevant to arguments of the sort Nicholson has in mind is not the apparent machine-likeness of the system in question but its adapted character—they appear designed in the sense that they are fit for some purpose. Even though humans tend not to, one can design a system in this sense without producing a system that divides labor.

  5. A more consistent term would be head-over-head, but I follow standard usage in the field.

  6. There are different concrete versions of the BR idea. The figure illustrates one version, known as a flashing ratchet model. Note that the figure depicts an energy landscape, not the physical structure of the molecule.

  7. Indeed, Nicholson (2019, 117) goes so far as to suggest that advocates of PS models operate under severe misunderstandings of the physics of molecular processes. I think this accusation is an exaggeration, to put it mildly. A range of precise, biophysically sound PS models exist in the literature (Howard 2001).

  8. For more on early work on Kinesin, on how its hand-over-hand motion was characterized and verified, and on the evolution of work in this area see Bechtel and Bollhagen (2021) and Bollhagen (2021).

  9. Another motility assay, used primarily in work by Steven Block and associates, involves attaching a glass bead to the Kinesin itself, which can then be captured (with force applied) by optical tweezers. One of the first papers using this method is Block et al. (1990), although it is still being further developed and put to new uses (e.g. Howard and Hancock 2020).

  10. As of the time of writing, and to the best of my knowledge, the clearest evidence on these questions is contained in Wolff et al. (2023). It suggests that ATP is hydrolyzed in the one-head-bound state and that while a full cycle involves the protein moving 16 nanometers, step size varies and can be either 6 nm, 8 or 10 nm.

  11. This is so both on PS and on BR model (Wagoner and Dill 2016) contra Nicholson’s suggestion (2020, 58).

  12. It is possible, of course, that some audiences, such as students in relevant areas or the general public, are liable to misunderstanding and errors. But, first, this is not my target in this paper—pedagogy and/or science communication cannot be easily read off from discussions of internal, research-focused questions. And, second, communicating the subtleties of machine analogies to non-specialists, even to lay audiences, is perfectly possible. See, for instance Hoffman (2012).

  13. This is a simplification in several respects, perhaps most importantly because it is well-known that a protein with the same tertiary structure can perform different roles depending on the cellular context, i.e. on cell type, developmental phase, which other cellular constituents are present etc.

  14. For this reason they are often described as self-organizing. But this term is overused and has multiple, sometimes ill-defined, meanings and so I avoid it.

References

  • Angerani S, Lindberg E, Klena N, Bleck CKE, Aumeier C, Winssinger N (2021) Kinesin-1 activity recorded in living cells with a precipitating dye. Nature 1463:1–10

    Google Scholar 

  • Astumian RD (2001) Making molecules into motors. Sci Am 285:56–64

    Google Scholar 

  • Bartha P (2010) By parallel reasoning: the construction and evaluation of analogical arguments. Oxford University Press, Oxford

    Google Scholar 

  • Bechtel W, Bollhagen A (2021) Active biological mechanisms: transforming energy into motion in molecular motors. Synthese 199(5–6):12705–12729

    Google Scholar 

  • Block SM (2007) Kinesin motor mechanics: binding, stepping, tracking, gating, and limping. Biophys J 92(9):2986–2995

    Google Scholar 

  • Block SM, Goldstein LS, Schnapp BJ (1990) Bead movement by single kinesin molecules studied with optical tweezers. Nature 348(6299):348

    Google Scholar 

  • Bollhagen A (2021) The inchworm episode: reconstituting the phenomenon of kinesin motility. Eur J Philos Sci 11:50

    Google Scholar 

  • Bondos et al (2021) On the roles of intrinsically disordered proteins and regions in cell communication and signaling. Cell Commun Signal 19:88

    Google Scholar 

  • Boyer P (1997) The ATP synthase—a splendid molecular machine. Annu Rev Biochem 66:717–749

    Google Scholar 

  • Camp E (2019) Perspectives and frames in pursuit of ultimate understanding. In: Frimm S (ed) Varieties of understanding: new perspectives from philosophy, psychology, and theology. Oxford University Press, Oxford

    Google Scholar 

  • Camp E (2020) Imaginative frames for scientific inquiry: metaphors, telling facts, and just-so stories. In: Levy A, Godfrey-Smith P (eds) The scientific imagination: philosophical and psychological perspectives. Oxford University Press, Oxford

    Google Scholar 

  • Cochran JC (2015) Kinesin motor enzymology: chemistry, structure, and physics of nanoscale molecular machines. Biophys Rev 7(3):269–299

    Google Scholar 

  • Craver C, Tabery J (2015) Mechanisms in science. The stanford encyclopedia of philosophy (Fall 2023 Edition), Zalta EN, Nodelman U (eds). https://plato.stanford.edu/archives/fall2023/entries/sciencemechanisms/

  • Dekker B, Dekker J (2022) Regulation of the mitotic chromosome folding machines. Biochem J 479(20):2153–2173

    Google Scholar 

  • Gierer A, Meinhardt H (1972) A theory of biological pattern formation. Kybernetik 12:30–39

    Google Scholar 

  • Green S, Levy A, Bechtel W (2015) Design sans adaptation. Eur J Philos Sci 5:15–29

    Google Scholar 

  • Hancock WO (2016) The Kinesin-1 chemomechanical cycle stepping toward a consensus. Biophys J 110:1216–1225

    Google Scholar 

  • Hesse M (1966) Models and analogies in science. University of Notre Dame Press, Notre Dame

    Google Scholar 

  • Hoffman PH (2012) Life’s Ratchet: how molecular machines extract order from chaos. Basic Books, London

    Google Scholar 

  • Howard J (2001) Mechanics of motor proteins and the cytoskeleton. Sinauer Associates, Sunderland

    Google Scholar 

  • Howard J (2006) Protein power strokes. Curr Biol 16(14):R517–R519

    Google Scholar 

  • Howard J (2010) Motor proteins as nanomachines: the roles of thermal fluctuations in generating force and motion. Biological physics: poincaré seminar 2009. Springer, Basel, pp 47–59

  • Howard J, Hancock WO (2020) Three beads are better than one. Biophysical J 118:1–3

    Google Scholar 

  • Howard J, Hudspeth AJ, Vale RD (1989) Movement of microtubules by single kinesin molecules. Nature 342:154–158

    Google Scholar 

  • Hua W, Chung J, Gelles J (2002) Distinguishing inchworm and hand-over-hand processive kinesin movement by neck rotation measurements. Science 295(5556):844–848

    Google Scholar 

  • Hwang W, Karplus M (2019) Structural basis for power stroke vs. brownian ratchet mechanisms of motor proteins. PNAS 116(40):19777–19785

    Google Scholar 

  • Kirchner M, Gerhart J, Mitchison T (2000) Molecular “vitalism. Cell 100(1):79–88

    Google Scholar 

  • Kitcher P (1993) Function and design. Midwest Stud Philos 18(1):379–397

    Google Scholar 

  • Kondo M, Muira T (2010) Reaction–diffusion model as a framework for understanding biological pattern formation. Science 329(5999):1616–1620

    Google Scholar 

  • Krukau A, Volker K, Lipowski R (2014) Allosteric control of kinesin's motor domain by tubulin: a molecular dynamics study. Phys Chem Chem Phys 16:6189–6198

  • Lande A, Jordan BM, Diego X, Muller P (2020) Pattern formation mechanisms of self-organizing reaction–diffusion systems. Dev Biol 460(1):2–11

    Google Scholar 

  • Levy A (2013) Three kinds of new mechanism. Biol Philos 28(1):99–114

    Google Scholar 

  • Levy A (2014) Machine-likeness and explanation by decomposition. Philosopher’s Imprint 14(6)

  • Levy A (2020) Metaphor and scientific understanding. In: Levy A, Godfrey-Smith P (2020) The scientific imagination: philosophical and psychological perspectives. Oxford University Press, Oxford

  • Mayer BJ, Blinov ML, Loew LM (2009) Molecular machines or pleiomorphic ensembles: signalling complexes revisited. J Biol 8:1–8

    Google Scholar 

  • Militello G, Moreno A (2018) Structural and organisational conditions for being a machine. Biol Philos 33:5–6

    Google Scholar 

  • Nicholson D (2013) Organisms ≠ machines. Stud Hist Philos Sci Part C Stud History Philos Biol Biomed Sci 44(4):669–678

    Google Scholar 

  • Nicholson D (2019) Is the cell really a machine? J Theor Biol 477:108–126

    Google Scholar 

  • Nicholson D (2020) On being the right size, revisited: the problem with Engineering Metaphors in Molecular Biology. In: Holm S, Serban M (eds) Perspectives on the engineeering approach in biology: living machines? Springer, Berlin

    Google Scholar 

  • Norton J (2021) The material theory of induction. University of Calgary Press, Calgary

    Google Scholar 

  • Oldfield CJ, Dunker K (2014) Intrinsically disordered proteins and intrinsically disordered protein regions. Annu Rev Biochem 83:533–584

    Google Scholar 

  • Oster G (2002) Brownian ratchets: Darwin's motors. Nature 47:25

    Google Scholar 

  • Reimann P (2002) Brownian motors: noisy transport far from equilibrium. Phys Rep 361(2–4):257–265

    Google Scholar 

  • Skilligs D (2015) Mechanistic explanation of biological processes. Philos Sci 8(5):1139–1151

    Google Scholar 

  • Steitz TA (2008) A structural understanding of the dynamic ribosome machine. Nature Mol Cell Biol 9(3):242–253

    Google Scholar 

  • Toprak E, Yildiz A, Hoffman MT, Rosenfeld S, Selvin PE (2009) Why kinesin is so processive. PNAS 106(31):12717–12722

    Google Scholar 

  • Turing A (1952) The chemical basis of morphogenesis. Philos Trans Royal Soc Part B 237:37–72

    Google Scholar 

  • Uversky VN (2019) Intrinsically disordered proteins and their “Mysterious” (meta)physics. Front Phys. https://doi.org/10.3389/fphy.2019.00010

    Article  Google Scholar 

  • Wagoner JA, Dill KA (2016) Molecular motors: power strokes outperform brownian ratchets. J Phys Chem B 120:6327–6336

    Google Scholar 

  • Wang W, Luyan C, Chunguang W, Benoit G, Knossow M (2015) Kinesin, 30 years later: recent insights from structural studies. Protein Sci 24(7):1047–1056

    Google Scholar 

  • Wolff JO, Scheiderer L, Engelhardt T, Engelhardt J, Matthias J, Hell SW (2023) MINFLUX dissects the unimpeded walking of kinesin-1. Science 379(6636):1004–1010

    Google Scholar 

  • Yildiz A, Tomishige M, Vale RD, Selvin PR (2004) Kinesin walks hand-over- hand. Science 303(5658):676–678

    Google Scholar 

Download references

Acknowledgements

For comments on previous versions of this paper I thank Kelli Barr, Daniel Burnston, Laura Gradowski, Eleanor Knox, Ehud Lamm, Edouard Machery, John Mathewson, Dana Matthiessen, Sandra Mitchell, Meghan Page and Eörs Szathmáry. I am especially indebted to work by Daniel Nicholson, who has been a trenchant critic of machine analogies in biology. While disagreeing with Nicholson on some central points, working through his arguments has sharpened and focused my thinking.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Arnon Levy.

Ethics declarations

Conflict of interest

No funding-related conflicts of interest are associated with this paper.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Levy, A. Molecular-biological machines: a defense. Biol Philos 38, 36 (2023). https://doi.org/10.1007/s10539-023-09915-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10539-023-09915-z

Keywords

Navigation