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Mechanical catalysis on the centimetre scale

Shuhei Miyashita

Shuhei Miyashita

Department of Informatics, University of Zurich, Andreasstrasse 15, 8050 Zurich, Switzerland

Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar St., Cambridge, MA 02139, USA

[email protected]

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Christof Audretsch

Christof Audretsch

Department of Informatics, University of Zurich, Andreasstrasse 15, 8050 Zurich, Switzerland

Department of Bioinformatics, University of Wurzburg, Biocenter, Am Hubland, 97074 Wurzburg, Germany

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Zoltán Nagy

Zoltán Nagy

Department of Architecture, ETH Zurich, John-von-Neumann-Weg 9, 8093 Zurich, Switzerland

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Rudolf M. Füchslin

Rudolf M. Füchslin

Institute of Applied Mathematics and Physics, Zurich University of Applied Sciences, Technikumstrasse 9, 8400 Winterthur, Switzerland

European Centre For Living Technology, S. Marco 2847, 30124 Venezia, Italy

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Rolf Pfeifer

Rolf Pfeifer

Department of Informatics, University of Zurich, Andreasstrasse 15, 8050 Zurich, Switzerland

Institute of Academic Initiatives, Osaka University, 1-3 Machikaneyama, Toyonaka, Osaka, 560-8531, Japan

Department of Automation, Shanghai Jiao Tong University, 800 Dong Chuan Rd, Min Hang, Shanghai 200240, China

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    Abstract

    Enzymes play important roles in catalysing biochemical transaction paths, acting as logical machines through the morphology of the processes. A key challenge in elucidating the nature of these systems, and for engineering manufacturing methods inspired by biochemical reactions, is to attain a comprehensive understanding of the stereochemical ground rules of enzymatic reactions. Here, we present a model of catalysis that can be performed magnetically by centimetre-sized passive floating units. The designed system, which is equipped with permanent magnets only, passively obeys the local causalities imposed by magnetic interactions, albeit it shows a spatial behaviour and an energy profile analogous to those of biochemical enzymes. In this process, the enzyme units trigger physical conformation changes of the target by levelling out the magnetic potential barrier (activation potential) to a funnel type and, thus, induce cascading conformation changes of the targeted substrate units reacting in parallel. The inhibitor units, conversely, suppress such changes by increasing the potential. Because the model is purely mechanical and established on a physics basis in the absence of turbulence, each performance can be explained by the morphology of the unit, extending the definition of catalysis to systems of alternative scales.

    1. Introduction

    In the biochemical realm, enzymes (Inline Formula) help substrates (Inline Formula) yield products (Inline Formula) by catalysing the activation potentials of the transition paths [1]. In a typical microscopic view of catalytic reaction Inline Formula acts on Inline Formula, configures an enzyme–substrate complex (Inline Formula), induces a conformation change of the substrate (Inline Formula) and carries off with the product, Inline Formula

    Display Formula
    1.1
    Albeit an individual molecule involves complex kinematics and is difficult to engineer, each transaction phase can be regarded as a logical operation [2], and the macroscopic view of the temporal dynamics can be characterized by the corresponding reaction speeds (k1, k2 and k3). While there is a discrepancy between the microscopic (mechanics) and the macroscopic (chemistry) perspectives, it has been generally considered that the key to this remarkable achievement lies in the addressability of individual molecules in representing discrete states, hidden in the morphology that rules the individual reaction order in a bottom-up manner.

    Lately, a process (inspired by chemistry) in which components spontaneously organize into complex structures, (self-assembly), has gathered attention [3]. A typical operation is, as described in chemical engineering studies, to control a global state of a system consisting of many components by regulating an environmental agitation, inducing a composition as a product. Such a synthetic process provides a new perspective for understanding biochemical reactions, and a promising path towards new manufacturing methods for complex non-molecular composition engineering (e.g. self-assembling electronic circuits) [4]. To date, various attempts at creating artificial self-assembly systems have performed simple aggregation-based assemblies, characterized by the direct forward reaction. The major attempts explored in the field can be represented by a reaction equation in which the components Inline Formula and Inline Formula are configured into Inline Formula, i.e. Inline Formula The components form a lattice structure after interacting mechanically [5], magnetically [610], electrostatically [11,12], via capillary forces [1316], hydrophobic/hydrophilic forces [17,18], fluid dynamics [19] or through configuring circuitry [2023]. Hereafter, we use the term reaction in a broad sense, including those obtained mechanically.

    In contrast to the capability of assembly, disassembly or the so-called backward reaction, (Inline Formula), has attracted less attention, although it is critical for reconfiguration processes, catalytic reactions or regrouping components. These processes regularly combine with external forces to realize disassembly [24], or change the surrounding medium to alter the interaction between the components [25,26]. A unique approach focusing on the asymmetry of a membrane and its influence on the diffusion speeds of molecules is found in [27].

    The engineering challenge here is to orchestrate an ordered assembly/disassembly down to individual components to globally attain a high yield of products, where the component has limited capabilities, as the available physical forces such as the electric, chemical or magnetic interactions provide limited interaction channels for the involved parts. Thus, for example, magnetism and capillary forces support only binary binding (either attraction or repulsion). A few notable attempts exist in which the emphases are placed on the logical responses of the components with respect to their possibilities of combining with the neighbour components, performing template replications [2831], efficient crystallization [32] or exclusive-or (XOR) calculations [33]. These approaches actively exploit physical ‘states' of the components (e.g. Inline Formula versus Inline Formula), whereby the two states are realized by changes in the mechanical and/or magnetic configuration of the involved components. A state change (implicitly or explicitly) alters the terrain of the system's potential energy and, thus, has the effect of accelerating the transition from one state to another. However, little reasoning has been conducted to quantify the cause of a transition, and proposed explanations have instead been based on phenomenological descriptions with heuristically designed components. One of the reasons for this could be that the presence of environmental agitation in the system complicates these analyses (in other words, these systems are essentially open to the environment). Then, the amount of kinetic energy delivered from the environment to a component contributing to a transition over time is difficult to assess, and, thus, the component's mechanical role is difficult to evaluate in a continuous parametric space. Beyond these approaches, we expect one component to function like an enzyme, that is, to act as a third agent and enable a state switch of a targeted component (Inline Formula) using magnetic potential energy only, where almost no environmental agitation is applied (thus, the system is essentially closed).

    Here, by demonstrating that a simple enzymatic process, described by equation (1.1), can be obtained mechanically by passive magnetic units on the centimetre-scale, we focus on deriving the mechanical design principle of this chemical reaction and show that the concept of catalysis from chemistry can be generalized to alternative fields such as engineering. The proposed model, which consists of water-floating units equipped with permanent magnets, exhibits behaviours analogous to biological enzymes, and a comparable method of energy employment that levels out the potential barrier.

    2. Design principle of magnetic catalysis

    This section provides a theoretical reasoning on how the magnet motion must be coordinated in space in order to attain catalytic behaviour. We assume a physical set-up where magnets with a cylindrical shape slide on a horizontal plane, guided by physical walls.

    2.1. Magnetism

    To realize catalytic behaviour with magnets, the trajectories of the magnets must be designed at each reaction phase, which requires knowledge of the relationships between different intermagnet distances. The magnetic potential energy between two magnets M1 and Mj (treated as dipoles) with magnetic moments mi and mj (Inline Formula Inline Formula) separated by a position vector rij (Inline Formula) connecting their centres, is given by

    Display Formula
    2.1
    where μ0 = 4π × 10−7 H m−1 is the permeability of free space, and Inline Formula the magnet diameters.

    When the magnets have an axially magnetized cylindrical shape, placed vertically on a frictionless two-dimensional plane in either parallel or anti-parallel configurations (the magnet directions are denoted by N or S in the following figures), they interact laterally. Assuming that the magnets feature the same magnetic moment magnitude Inline Formula the potential and resulting forces are simplified to

    Display Formula
    2.2
    and
    Display Formula
    2.3
    where σij = 1 if the magnets are anti-parallel, i.e. the two magnets are attracted along the line that connects them, and σij = −1 if they are parallel, i.e. repelling. We can determine the potential energy of the system, considering all involved magnets, from
    Display Formula
    2.4
    If the magnets are free to move, they will move such that the total energy is reduced (Inline Formula), and, consequently, their relative distance is reduced (for an attractive configuration). This behaviour is the basis for designing the motion of the magnets in this work.

    Equations (2.1)–(2.4) hold strictly for Inline Formula the magnet diameters, and they gradually lose accuracy as rij becomes comparable to the diameters. However, because our model mostly needs to take the relative distances of magnets sets into account, they satisfy our requirements; in equation (2.3), the magnitudes of magnetic force strength are related to the relative distances, cancelling out the inaccuracy of their values.

    The proposed magnetic catalysis is phenomenologically described in figure 1a–d, which provides the incremental design of the paths for the three magnets involved in the enzymatic behaviour. The horizontal dimension is the reaction coordinate, and the vertical dimension is the distance between neighbouring magnets. Note that all the magnets maintain the same horizontal coordinate positions. The paths are illustrated as straight lines for intuitive apprehension, even though the reaction speed along the horizontal axis is nonlinear. This maintains the generality of the path descriptions, because a curved function can be approximated by a combination of linear lines. We illustrate the profile of the system's potential energy Utotal on top of each transition path. The state of the system is characterized by the motions of the involved magnets.

    Figure 1.

    Figure 1. Incremental design of the enzymatic process. The lateral paths that M1, M2 and M3 follow are shown with green, blue and red lines, respectively. (a) Sliding motion of magnets which can potentially perform work; i.e. change the physical conformation of the units. (b) Activation potential. The energy profile of the outwardly wedged paths hinders the sliding motion of the magnets. The necessary conditions on the path distances are shown in orange parentheses. (c) Proposed magnetic catalysis. A third magnet M3 levels out the activation potential, acting as an enzyme, escorting M2 to overcome the potential barrier. The distances displayed are labelled in parentheses. The passable region for M3 derived from equation (2.5) is shown in pink. Dotted lines designate the boundaries of the path region and cannot be paths themselves. (d) Extension of (c) representing the complete enzymatic action, consisting of five distinctive phases. The position numbers 1–8, coloured in red, represent reaction stages and correspond to the same numbers in figure 2. (Online version in colour.)

    2.2. Sliding motion and conformation change

    In figure 1a, if the paths of magnets M1 and M2 (anti-parallel) converge by a distance x (R1 > R3; x := R1 − R3 > 0), the magnets slide owing to the increasing magnetic attraction force, which, in turn, reduces the relative distance (R2 is not listed). The energy release can be used to perform work, which enables a kinematic reconfiguration.

    2.3. Activation potential

    The rate of physical convergence of the paths is a regulative parameter in the design. This is shown in figure 1b, where the choice of R1 < R2 (y := R2 – R1 > 0) and hence R2 > R3 create an outward wedged path acting as a ‘threshold’, which can suppress the sliding motion. Consequently, the magnets must overcome a potential energy barrier—which can be interpreted as the magnetically created activation potential—before the reaction can proceed.

    2.4. Catalysis

    Figure 1c illustrates the designed magnetic catalysis. The paths for M1 and M2 are the same as in the two-magnet case discussed in figure 1b, whereas the introduction of M3 helps the trapped magnet M2 to overcome the potential barrier and advance further on the path. When M3 is attracted towards M2, it can reach a position where the distance to M2 (R5) becomes shorter than the distance between M1 and M2 (R1). Once R1 > R5 is satisfied, and the M3M2 attraction exceeds that of M1M2, M2 begins its translation escorted by M3. Note that, owing to the quick spatial decay of the magnetic force, the net force on M2 is always dominated by the closest distance to any another magnet, and we neglect the magnetic crosstalk of the non-neighbouring magnets M1 and M3. By designing the distances in the paths as R5 > R6 and R6 > R7, we can ensure that M2 reaches an endpoint where the distance from M2 to M1 is again closer than to M3 (R3 < R7). In the end, incorporating all the distance relations above, we obtain the condition for designing paths for catalysis

    Display Formula
    2.5
    which draws the magnitude relations anticlockwise in the figure, starting from R3. Given R1, R2 and R3, we show the passable region for M3 in pink, which certifies that as long as M3 transits in this region, the reaction will proceed. The opposite happens in figure 1b, where the reaction stops. In this case, the system proceeds with the reaction implying that the terrain of Utotal is levelled out (see the mathematical proof in appendix B). Note that the condition derived in equation (2.5) holds even if the interaction force depends on a different power of the distance, when Inline Formula (Inline Formula).

    2.5. Enzymatic reaction

    Figure 1d shows the complete enzymatic reaction, which is composed of five distinctive phases. Each magnetic reaction phase can be viewed in correspondence to the three reaction phases, k1, k2 and k3, in equation (1.1). Phase k1 is when M3 is far away, approaching M2. Phase k2 is further divided into two subphases, where phase k2 1 represents the event when the activation potential is levelled out, and phase k2 2 represents the event when the energy is used for work, i.e. conformation change and distancing M3. From a mechanical standpoint, phase k2 1 can be divided into two subphases, which correspond to the two sectors of the original activation potential, i.e. the uphill and downhill sectors, respectively. Phase k2 2 is similar to phase k2 1, in that all three magnets are moving, except the driving force is now between M1 and M2. M1 and M2 attract each other, decreasing the relative distance and performing the conformation change (R3 > R4). Eventually, the distance between M2 and M3 is sufficiently large to reduce the net magnetic force on M3 considerably (R7 < R8). Phase k3 is the stage when M3 is magnetically repelled. In our case, we designed the physical path of M2 such that M2 flips and changes polarity (see details in §3).

    3. Physical substantiation

    3.1. Units

    Figure 2a shows an image of the designed units that implement the three paths described in figure 1d. The red path represents the movement of M3 embedded in a circular unit Inline Formula called enzyme. Two paths, the green path for M1 and blue for M2 are mechanically arranged and embedded in the small Inline Formula and the large Inline Formula subunit as guiding walls for the magnets. Together, Inline Formula and Inline Formula compose the substrate Inline Formula As the motion of the conformation change can be arbitrary, it is implemented such that Inline Formula and Inline Formula, which rotate through a relative angle 90°, switch contact facets and in so doing mechanically simulate a protein's folding motion, forming a different configuration (Inline Formula; product). In addition, expecting to realize autocatalytic behaviour, we placed another Inline Formula encapsulated in Inline Formula (this second Inline Formula is called the docked Inline Formula in contrast to the mobile Inline Formula). The docked Inline Formula is positioned far from Inline Formula, and, hence, has a small effect on the interactions of the other magnets; the existence of the docked Inline Formula is not necessary for Inline Formula and Inline Formula to maintain the configuration of Inline Formula.

    Figure 2.

    Figure 2. Physical model for the proposed enzymatic action, substantiated from figure 1d. (a) Overview of the designed floating units. (bd) Magnetic catalysis by an Inline Formula invoking a conformation change of Inline Formula, forming a different configuration Inline Formula; product. The paths of the magnets are shown in the same colours as in figure 1, with the corresponding labels R1–R8. (eg) Inhibition of the conformation change by an Inline Formula (Online version in colour.)

    3.2. Enzymatic reaction

    The behaviour of an enzymatic reaction is illustrated in figure 2b–d, where the phases k1k3 comprise distinguishable stages represented by the positions of the mobile Inline Formula (tagged with positions red-1 to red-8). In brief, a mobile Inline Formula approaching from the left triggers a conformation change of Inline Formula, releasing the docked Inline Formula, whereas it itself eventually moves away from Inline Formula after a short contact. More concretely, the mobile Inline Formula sits on the long-arc edge of Inline Formula, further rolls along it to a certain position where the distance between M2 and M3 (R5) becomes shorter than between M1 and M2 (R1; phase k1, positions red-1 to red-3). Note that the magnets, just as well as Inline Formula, can reduce the friction with the side walls by rolling. Then, Inline Formula drags M2, by continuing to roll along the edge of Inline Formula (phase k2 1 uphill and downhill, positions red-3 to red-5), until the distance between M1 and M2 becomes shorter than that between M2 and M3 (R3 < R7). Then, the attraction between M2 and M1 initiates a conformation change by sliding along their respective paths, decreasing the relative distance (phase k2 2, positions red-6 to red-7). Eventually, M2 falls into a hole and connects to the bottom of M1 by flipping upside-down, in the process binding the floors of Inline Formula and Inline Formula. These longitudinally coupled M1 and M2 repel the mobile Inline Formula as well as the docked Inline Formula from Inline Formula (phase k3, position red-8). When the docked Inline Formula is expelled, it can subsequently act as a new mobile Inline Formula Hence, the number of mobile Inline Formula is doubled after a conformation change, inducing a cascade reaction when multiple Inline Formula exist. The geometry R1–R8 is reflected by the paths in figure 1d, drawn in a proportional scale for this substantiation.

    3.3. Inhibition

    Inhibition or at least the partial suppression of a chemical reaction is also a basic biochemical function primitive, realized by highly specific molecules forming complexes with other molecules. Such molecules, called inhibitors, often dock to the binding sites of enzymes via non-covalent bonding, or prohibit conformational changes of such molecules via steric hindrance. Inspired by this fact, the inhibition of the conformation change of a substrate is realized by making the shape of the mobile unit rectangular, but keeping the same magnetic arrangement as for Inline Formula (this new unit is called an inhibitor, Inline Formula whose role is described in figure 2e–g). In contrast to the case of Inline Formula the system with Inline Formula inhibits a conformation change by hindering the rotational motion of Inline Formula Owing to the angular shape, the mobile Inline Formula cannot roll along the edge of Inline Formula or it requires separation of two attracting magnets M2M3 (thus, the barrier would indeed be regarded as an activation potential by Inline Formula), and restricts the conformation change by trapping M2 midway in its path (position yellow-4 in figure 2f). The docked Inline Formula is nevertheless released because it is now in a repulsive region, and the number of mobile Inline Formula is preserved to continue reactions (see the change in the attractive region in the electronic supplementary material, figure S4). Thus, Inline Formula is magnetically inactivated; it cannot change its conformation nor attract another mobile Inline Formula or Inline Formula Note that reactions can proceed in parallel, because Inline Formula and Inline Formula act on Inline Formula and vice versa, whereas Inline Formula and Inline Formula repel each other, as do the Inline Formula

    3.4. Experimental set-up

    All the units, ranging from 7.07 to 55.66 mm in diameter (see the electronic supplementary material, figure S3 for detailed dimensions), were designed using a computer-aided design program (SolidWorks) and then printed with a three-dimensional printer (Dimension BST 768) on acrylonitrile butadiene styrene1. The employed magnets, M1, M2 and M3, have a cylindrical shape (Inline Formula 3.0 × H 3.0 mm), weigh 0.161 g and are made of nickel-coated neodymium iron boron with a magnetic flux density of 0.340 T at the middle of the surface (supermagnete, S-03-03-N). Experiments with multiple units combined in §4.2 were conducted in a water container of Inline Formula400 mm with 10 mm depth of water. Iron discs (Inline Formula30.0 × H 3.0 mm) were placed below each Inline Formula to position and maintain the initial two-dimensional coordinates of the Inline Formula The experiments with a single conformation change were recorded by a high-speed camera, and the magnet positions were tracked using a software (Tracker).

    4. Results

    4.1. Conformation change and inhibition

    Figure 3 shows snapshots of a conformation change invoked by a mobile Inline Formula (figure 3a), and inhibition by a mobile Inline Formula (figure 3b). Figure 3a: a mobile Inline Formula is attracted to Inline Formula (–0.390 to –0.133 s; we set t = 0 s when the mobile Inline Formula is in a contact with Inline Formula), it brings M2 on Inline Formula to the sharp bend in the path (0.095–0.186 s), induces a conformation change (0.333–0.619 s), and finally bears off from Inline Formula (0.910–1.110 s). The average duration of a conformation change (over 20 trials) was 0.459 ± 0.105 s (s.d.), similar to that of the contact of Inline Formula to Inline Formula 0.456 ± 0.103 s (s.d.). In most cases, at phase k2 1, M2 moved faster than Inline Formula, giving a brief indication of the inertia of Inline Formula.

    Figure 3.

    Figure 3. Snapshots of the conformation change by Inline Formula in (a), inhibition by Inline Formula in (b), and the derived magnetic potential energy transitions in (c). (a) A mobile Inline Formula which is manually released at 8 cm to the left of the centre of the Inline Formula invokes a conformation change, and moves away from Inline Formula at the same time at which the docked Inline Formula is released. (b) Owing to its angular shape, the mobile Inline Formula cannot roll along the long edge of Inline Formula Hence, it remains at the same position, suppressing the conformation change by trapping Inline Formula at the midpoint of its path. See the electronic supplementary material (movies S1 and S2) for these two motions. (c) Transitions of Utotal of (a), (b), and a theoretically derived plot assuming that the conformation change occurs without Inline Formula all being normalized to Utotal|t=1. The vertical axis is displayed in inverted form compared with figure 1 for intuitive apprehension; the lower the point on the vertical axis the lower the energy. (Online version in colour.)

    Figure 3b: just as for the mobile Inline Formula in figure 3a, a mobile Inline Formula, which has the same magnet arrangement, is attracted to Inline Formula (–0.619 and –0.071 s). When Inline Formula makes contact with Inline Formula, it attracts M2, but because Inline Formula itself cannot roll along the edge of Inline Formula, it holds M2 at the midpoint of its path, suppressing a conformation change (1.483 s). When this entrapment occurred, the docked Inline Formula entered a repulsive region created by M1, M2 and the mobile Inline Formula, and, thus, was released from Inline Formula (2.152 s). This way, the released Inline Formula can continue the inhibition process.

    Figure 3c displays the transitions of the system's magnetic potential energy Utotal, derived by analysing the spatial positions of the involved magnets (for experimental plots with Inline Formula and Inline Formula), and by the design in figure 1c supposing that M1M3 transit coherently (for a theoretical plot without Inline Formula). We normalized Utotal by dividing by the respective Utotal at t = –1 s (–1 s was determined arbitrarily, noticing the small magnetic influence of Inline Formula and Inline Formula). In this way, the difference in the number of magnets is cancelled out. We show the vertical axis in inverted form for an intuitive understanding corresponding to figure 1.

    Owing to the catalytic effect, the potential energy of Inline Formula monotonically decreases, allowing the system to naturally proceed with reactions without an external energy input, and to reach a global stable state. By comparing the cases with Inline Formula and the theoretically derived case without Inline Formula the reduction in the activation energy is clearly seen (we regard this decrease as the catalysis attained by Inline Formula). Inhibition is also clearly shown in the global stable states (e.g. t = 1 s), because Inline Formula suppresses the decrease in the potential energy that Inline Formula generates. The magnitude of the energy drop by Inline Formula is a mere 6% of that obtained with Inline Formula As discussed, the previously defined reaction phases can be recognized as distinctive transitions.

    4.2. Autocatalysis with multiple units combination

    To test the designed system under more general conditions in a longer run, where multiple unit sets exist in space, we conducted experiments with five Inline FormulaInline Formula sets and Inline FormulaInline Formula sets, and show the representative trial results in figure 4. To prevent multiple Inline Formula from gathering around the border of the container owing to their weak repulsion, we submerged iron plates 17 mm below the water surface level to weakly situate each Inline Formula, while allowing them to orient themselves in random directions. Figure 4a shows a trial where Inline Formula dock Inline Formula whereas figure 4b shows Inline Formula docking Inline Formula In both cases, we initiated the reactions by manually placing five Inline Formula between the Inline Formula thus setting both initial conditions the same.

    Figure 4.

    Figure 4. Snapshots of representative trials with a multiple unit combination for Inline Formula (a) and Inline Formula (b) pre-docked to the Inline Formula Each window displays the elapsed time after the placement of five Inline Formula units, with trajectories of actively transitioning Inline Formula and Inline Formula (a) Two of five released mobile Inline Formula triggered conformation changes of Inline Formula which resulted in the remaining three triggers by the recently released Inline Formula (b) Two mobile Inline Formula that were released by conformation changes inhibited Inline Formula See the electronic supplementary material (movies S3 and S4) for these two cases. (Online version in colour.)

    In figure 4a, after a brief interval of a quasi-stable state, the first conformation change (highlighted with a red circle) was triggered at 58.5 s, instantly followed by another conformation change at 60.1 s. The two new mobile Inline Formula released by the conformation changes traversed the field in the 12 o'clock direction following the local magnetic field gradient, and invoked two of the remaining conformation changes (70.3 and 76.6 s). The last Inline Formula was hit by an Inline Formula at 79.2 s, and changed its conformation. The system proceeded naturally and completed the process despite 17 of 20 magnets being involved in the series of reactions, and thus created locally complex magnetic fields. If we plot the system's energy transition as in figure 3c, the terrain includes sharp and significant energy drops each time a conformation change occurs. It also displays a flat terrain the majority of the time while the mobile units are travelling. The timing of the conformation changes might be affected by the density of units, though this investigation is a future research avenue.

    In figure 4b (docked Inline Formula), the first conformation change was triggered at 4.9 s, faster than in figure 4a (docked Inline Formula). In general, the time of the first reaction is influenced by the randomly oriented Inline Formula, which, nonetheless, have little influence on the later reaction speed once a reaction starts. After another conformation change was triggered by an Inline Formula (5.9 s), the two released Inline Formula in the centre of the field inhibited different Inline Formula (at 9.2 and 19.6 s, highlighted with yellow circles). The final conformation change was invoked at 40.5 s. The most significant difference from the case in figure 4a, the docked Inline Formula trial, is that an inhibited Inline Formula did not create as strong a repulsive magnetic field as in the case of Inline Formula and hence it had less influence on the motion of the mobile units close by.

    We conducted 30 trials for each of the two cases. The average durations for completing five reactions were 67.7 s (min = 13.3, median = 55.7, max = 146.3) with docked Inline Formula and 58.6 s (min = 11.5, median = 55.3, max = 142.7) with docked Inline Formula During the docked Inline Formula trials, there were 36 inhibitions within 150 reactions, which corresponds to 24.0% of the total number of reactions. By considering the number of invoked conformation changes, the average duration per conformation change was 13.5 s (min = 2.7, median = 11.2, max = 29.3) and 15.9 s (min = 13.3, median = 55.7, max = 146.3) with docked Inline Formula trials and docked Inline Formula trials, respectively. The small difference in the durations is mainly because we began with Inline Formula in both cases and, hence, the influence of Inline Formula was screened.

    During the experiments, a small number of trials were considered to be accidental errors, for example, because of magnets that jumped from Inline Formula when changing conformation (this occurred five times before we reached 30 trials with Inline Formula), and that failed to conduct magnet flips (this occurred five times under the same conditions with Inline Formula). We also once terminated a trial with Inline Formula when no reaction occurred for more than 1 minute. Considering that conformation changes with a single Inline Formula were reliable, the increase in the failure rate seems to indicate the magnetic influence of distant magnets. Within 41 potential inhibitions, Inline Formula did not hold its position but slipped along the edge of Inline Formula and invoked a conformation change on five occasions (failure rate 12.2%).

    5. Discussion

    Unlike highly stochastic molecular reactions where thermal agitation is the driving force for transportation and massive rapid samplings of configurations for conformation change, our system rather exhibits a deterministic behaviour, whose dynamics could thoroughly be predicted by considering the positions of all involved magnets. Our emphasis is on presenting the possibility of catalytic behaviour carried out in the almost complete absence of environmental turbulence, thus, the units' morphology with respect to each reaction phase could be discussed. This aspect of the system, that it develops rather statically, at the same time, indicates that the mechanism shows a potential for smaller scales at which the influence of mass is more negligible. Incorporation of stochasticity through externally added kinetic turbulence or water agitation could nevertheless be feasible. By sufficiently shortening R2 in figure 1c, but still conserving the condition that R1 < R2, such environmental perturbation may still be able to invoke a sliding motion of M2, thus realizing conformation change of Inline Formula Regulating the agitation level and investigating the influence of catalytic enhancement would be of interest in future research.

    6. Conclusion

    With a special focus on the role of morphology, this study approaches the realization of a fully functional centimetre-sized, mechanical model of catalysis. We report on the construction and operation of the model, which contains both enzymes and inhibitors. To illustrate the analogous underlying processes of enzymatic behaviour, we first formulate the intermagnetic interactions attainable with permanent magnets. Then, we introduce physical units that instantiate the interaction and validate the desired behaviour where an enzyme triggers a kinematic reconfiguration of the target units, funnelling down the magnetic potential barrier (activation potential), whereas an inhibitor inhibits a reconfiguration by creating a barrier. As this phenomenon was attained at the pure physics level by combining morphology and magnetism, this study provides a platform at the intersection of classical mechanics (unit design), physics (magnetism) and chemistry (enzyme reaction). The obtained model extends the conventional definition of catalysis to systems of alternative scales, realizing ‘mechanical’ reactions with hands-on artefacts, which can expand the concept of manufacturing.

    Funding statement

    This work was partially supported by a Swiss National Science Foundation Fellowship number PA00P2_142208.

    Footnotes

    Endnote

    1 The CAD data of all the designed units can be downloaded as electronic material in STL file format at http://www.shuhei.net/.

    © 2015 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.