Abstract
The determination of a substrate or enzyme activity by coupling one enzymatic reaction with another easily detectable (indicator) reaction is a common practice in the biochemical sciences. Usually, the kinetics of enzyme reactions is simplified with singular perturbation analysis to derive rate or time course expressions valid under the quasi-steady-state and reactant stationary state assumptions. In this paper, the dynamical behavior of coupled enzyme catalyzed reaction mechanisms is studied by analysis of the phaseplane. We analyze two types of time-dependent slow manifolds – Sisyphus and Laelaps manifolds – that occur in the asymptotically autonomous vector fields that arise from enzyme coupled reactions. Projection onto slow manifolds yields various reduced models, and we present a geometric interpretation of the slow/fast dynamics that occur in the phase–planes of these reactions.
Keywords: Enzyme kinetics, coupled enzyme assays, Michaelis–Menten reactions, time-dependent slow manifold, Sisyphus manifold, Laelaps manifold, differential-algebraic equation, asymptotically autonomous vector field
1. Introduction
Biochemical reactions inside cells are generally catalyzed by enzymes, which accelerate the conversion of substrates into products under physiologi-cal conditions. Most of the complex chemical processes occurring inside cells or organisms that are necessary for the maintenance of life are catalyzed by enzymes. Consequently, the experimental measurement of enzyme activity through in vitro assays plays a substantial role in understanding the dy-namics of biochemical processes inside cells [1]. Often however, the activity of numerous enzymes cannot be observed experimentally through direct ob-servation of their reaction. Instead, these non-observable enzyme catalyzed reactions must be observed indirectly by coupling it to another enzyme cat-alyzed reaction that is used to indicate the progress of the non-observable reaction. The observable enzyme catalyzed reaction is known as the indicator or monitor reaction [2]. The non-observable enzyme catalyzed reaction can be of varying complexity; it may contain linear inhibition or exhibit enzyme degradation [3]. Regardless of the nature of the non-observable reaction, there are two general mechanisms employed to couple enzyme reactions: the coupled auxiliary enzyme reaction mechanism [4], and zymogen activation coupled to its enzyme catalyzed reaction [5].
To set the stage, and explain how the coupling mechanisms between a non-observable and an indicator reaction operate, let us assume (for simplicity) that the non-observable reaction follows the Michaelis–Menten (MM) singleenzyme, single-substrate mechanism of action [6]
(1) |
from which we need to indirectly measure the activity of E1 through means of an indicator reaction (S1 denotes the substrate of the non-observable reaction, C1 denotes the complex, and S2 is the substrate generated in the non-observable reaction). In the coupled auxiliary enzyme reaction mechanism, the product of the non-observable reaction (S2) is catalyzed by an auxiliary enzyme, E2, in the indicator reaction [4]:
(2) |
In the above mechanism, k1,k−1,k3,k−3,k2 and k4 are rate constants. The coupled auxiliary enzyme reaction is by far the most common type of coupled assay, and there are many examples reported in the literature (see, Tables II and III in [3] and Table 4.5 in [2]). One specific example is the phosphoryla- tion of glucose to glucose-6 phosphate. The primary reaction is catalyzed by hexokinase, and is non-observable in typical steady-state kinetic experiments. Therefore, to investigate the hexokinase activity, its reaction is coupled to the catalytic conversion of glucose-6 phosphate into 6-P gluconolactone with the enzyme glucose 6-P dehydrogenase, which serves as the indicator reaction.
A less common coupled assay is the zymogen activation coupled to its enzyme catalyzed reaction. In a zymogen activation reaction coupled to its enzyme reaction, the product of the non-observable reaction is the indicator enzyme, E2, which binds with the auxiliary substrate, S2, to form a product [5]:
(3) |
(4) |
Reactions of the form (3)-(4) often occur in vivo. For example, the phys- iologic response to a vascular lesion entails a number of enzymatic steps that lead to clot formation. These enzymatic steps are a cascade of enzyme catalyzed reactions that follow a sequence of zymogen activation steps as de-scribed above [7]. In the laboratory, the activity of thrombin, one of the blood coagulation enzymes, has been studied with a zymogen activation coupled to an enzyme catalyzed reaction assay. Thrombin catalyzes the activation of protein P, which is non-observable using steady-state kinetic laboratory assays. However, the formation of p-nitroaniline from substrate S2266 is cat-alyzed by activated protein P, and is observable through steady-state kinetic progress curve experiments. By coupling the two reactions, thrombin func-tion is studied with a zymogen activation coupled to its enzyme catalyzed reaction [8].
As mentioned, the overall aim of an assay is to measure the enzyme activity of a specific reaction. When the reaction can be observed experimentally, the MM equation, (5), is usually employed to measure the enzyme kinetics:
(5) |
In (5), V1 is the limiting rate of the primary reaction, and is its Michaelis constant [9, 10]. The Michaelis constant is defined operationally as the con-centration of the substrate at which the rate of the reaction is half of the limiting rate; that is, dp/dt = 0.5V1. The enzyme specificity is character-ized by the specificity constant, which is the result of dividing k2 by [11, 12, 13]. The kinetic constants (V1 and ) are generally estimated through initial rate or time course experiments [14, 2] by mathematically solving an inverse problem [15, 16]. In the case of coupled enzyme assays, the caveat with this procedure is that the primary reaction is not experimentally observable. Thus, V1 and need to be estimated through means of indirect measures of data recorded from the indicator reaction. From a theo-retical point of view, the demand is obvious: a mathematical theory must be developed that is capable of accurately describing the relationship between the non-observable reaction and the indicator reaction. Most enzyme kinetic analyses developed to study coupled enzyme assays assume that the coupled enzyme reactions follow first-order kinetics [17, 18, 19, 20, 21]. The limiting fact with this assumption is that first order models are typically only valid during the lag time of the reaction, which is effectively the length of time it takes before measurable formation rates of P become experimentally detectable. If the indicator reaction is fast, then first order models are only valid over very small timescales; this limits the duration of time over which useful (in the context of the inverse problem) experimental measurements can be made.
In order to develop experimental protocols that yield an accurate quantification of enzyme activity in a non–observable reaction, a mathematical model must be developed, conditions for its validity must be established, and timescales that characterize the lengths of transient and steady–state regimes must be approximated. Qualitatively, the most useful tool that can be employed to study the mathematical structure of a chemical reaction is phase–plane analysis; in contrast, the most influential quantitative tool is the combination of scaling and asymptotic analysis [22]. The single–enzyme, single–substrate MM reaction is well understood in terms of scaling and asymptotic analyses [23, 24, 25], and the geometric picture of the phase– plane dynamics is also well defined [26]. While scaling/asymptotic analysis has recently been applied to coupled enzyme reactions [5, 4], a clear picture of the phase–plane geometry is lacking. The phase–plane description of a reaction is useful in that it illustrates the reaction visually as a two-dimensional play whose characters are trajectories, attracting manifolds, and fixed points. The overall goal of this paper is to describe the previously mentioned coupled reaction mechanisms geometrically, and illustrate what certain results from scaling analysis say about what is happening in the phase–plane. The unique feature of the phase-plane descriptions of the reaction mechanisms discussed in this work is that the indicator reaction (in both reactions) is described by an asymptotically autonomous vector field [27]. Consequently, while the phase–plane analysis of the single–enzyme, single–substrate MM reaction presents a phase-plane with fixed points and manifolds that are stationary, the phase–planes of the indicator reactions studied in this paper are best analyzed by moving nullcline analysis. In the sections that follow, we illustrate the geometric interpretation of the quasi-steady-state assumption (QSSA), and the reactant-stationary assumption (RSA) of the indicator re-actions utilized in the auxiliary enzyme assay and zymogen activation assay.
2. Analysis of the coupled auxiliary enzyme reaction mechanism
We start our analysis with the coupled auxiliary enzyme reaction mec-hanism represented by the chemical equations (1)–(2), which consists of a single-substrate, single-enzyme non-observable reaction followed by another single-substrate, single-enzyme observable reaction (indicator reaction). In this mechanism, the product of the non-observable reaction becomes the substrate of the indicator reaction. By applying the law of mass action to (1)–(2), we obtain a nonlinear system of differential equations with three conservation laws [4]. We begin our analysis by scaling the mass action equations.
2.1. Scaling of the coupled auxiliary enzyme reaction
After eliminating redundant expressions using the conserved quantities , and , the mass action equations that model the coupled auxiliary enzyme mechanism are:
(6a) |
(6b) |
(6c) |
(6d) |
The lowercase letters in (6) denote the concentrations of the uppercase letters in (1)–(2). Notice equations (6a)-(6b) are autonomous and independent of s2 and c2. In this regard, the first catalyzed reaction drives the second catalyzed reaction; thus, the indicator reaction can be viewed as a non-autonomous system with forcing term k2c1(t). Moreover, since limt→∞ c1 = 0, the vector field that governs the flow of the indicator reaction is asymptotically autonomous [27].
The complete catalyzed coupled auxiliary enzyme reaction (6) can be characterized by three timescales (, and ) [4]:
(7) |
In (7), and denote the Michaelis constants
(8) |
V1 and V2 are the limiting rates
(9) |
and denotes the maximum concentration of unbound s2. The timescales and define, respectively, the temporal order of magnitude of the initial fast transient and the approximate length of non-observable reaction [23]. Likewise, is a rough estimate of the indicator reaction’s depletion timescale when it is sufficiently slow. We cautiously note that has no direct physical interpretation when the indicator reaction is fast; however, is useful in terms of scaling analysis, and we will illustrate this utility in the upcoming sections.
The slow/fast dynamics of autonomous vector fields is typically the result of disparate timescales that admit the existence of a slow invariant manifold. In the non-autonomous context, slow manifolds are generally referred to as slow integral manifolds. For simplicity, we will use the term “slow manifold” to describe both slow manifolds (the autonomous version) and slow integral manifolds (the non-autonomous version). To establish the presence of slow manifolds, we rescale the mass action equations with respect to the dimensionless variables
(10a) |
(10b) |
In dimensionless form, the mass action equations (6) that govern the non-observable reaction are:
(11a) |
(11b) |
The dimensionless equations that describe the indicator reaction are:
(12a) |
(12b) |
The variables , σ1, σ2, κ1, and κ2 are given by,
(13) |
and the constants α1 and α2 are dependent on κ1 and κ2:
(14) |
The additional constants, ε and λmax, are dependent on the initial enzyme and maximum substrate concentrations, as well the Michaelis constants
(15) |
The remaining constants, Λ and δS, are ratios:
(16) |
Scaling the indicator reaction with respect to is no accident. This is because, as mentioned previously, gives a very good estimate of the completion timescale corresponding to the indicator reaction when the non-observable reaction is extremely fast in comparison. Moreover, the ratio δS should give a good indication of how well the indicator reaction “keeps up” with the non-observable reaction. Since the completion of the indicator reaction cannot occur before the completion of the non-observable reaction, it stands to reason that if δS ≪ 1, then the completion of the indicator reaction will occur at roughly the same time as the non-observable reaction [4].
The ratio Λ will be very large if the indicator reaction is fast, since s2 should quickly bind with e2 and form product. Consequently, the maximum concentration of unbound s2 should be much less than the initial non-observable substrate . In contrast, if the indicator reaction is slow (i.e., if ), then Λ ≈ 1.
If ε, λmax ≪ 1, then there exist slow manifolds , such that
(17a) |
(17b) |
are good zeroth order approximations to the mass action equations on the T and τ timescales, respectively. Moreover, after the initial fast transient of the non-observable reaction, equation (17b) becomes
(18) |
The validity of (17a) is well-established [28], and we will not go into the details of this here. Further reduction of (18) is possible when the speeds of the non-observable and indicator reaction significantly differ, and in the subsequent sections we will convey the geometric interpretation of the reduced models that arise from (18) when the indicator reaction is very fast or, in contrast, very slow.
2.2. The coupled auxiliary enzyme reaction exhibits a Sisyphus manifold
Under appropriate conditions, the phase-plane of the indicator reaction exhibits what we call a Sisyphus manifold. What we see computationally is the solution starting on the c2-nullcline (when experimental initial conditions are prescribed) and essentially moving up and down the c2-nullcline. Since the c2-nullcline resembles a hill, we refer to the slow manifold (that lies close to the c2-nullcline) as the Sisyphus manifold, after the Greek mytho-logical king who was sentenced for eternity to push a stone up a hill only to have it roll back down as it neared the top (see FIGURE 1 and MOVIE 1 in the Supplementary Material).
We invoke moving nullcline analysis to geometrically illustrate why solutions roll up and then slide down the c2-nullcline. Starting with some basic notation, we will denote the respective s2 and c2 nullclines as
(19a) |
(19b) |
where the superscript “t” in (19a) denotes the time-dependency of the s2-nullcline. If we consider snapshots of the s2–c2 phase–plane at different points in time (i.e., let t = tn), we see that the intersection of the nullclines, x*(tn),
(20) |
slides, like a bead on a wire, up and down the c2-nullcline. Algebraically, the coordinates of the intersection “x*(t)” are
(21) |
An important observation can be made from (21): as the indicator reaction becomes extremely fast (with respect to the speed of the non-observable reaction), the maximum distance from x* to the origin becomes negligibly small:
(22) |
What phase-space trajectories do is follow x* and, under appropriate conditions (to be defined), the phase-plane trajectory will follow x* along a path that is extremely close to the c2-nullcline. This typically occurs in three stages: (1) the trajectory chases the fixed point up the c2-nullcline, (2) the trajectory “catches” x*, at which time both s2 and c2 reach their maximum values and, (3) the trajectory follows x* back down the c2-nullcline (see FIGURES 2a–2d for another visualization of the Sisyphus manifold). Since the relative speed of the indicator reaction determines how far x* can travel away from the origin, it follows that will be much less than when the indicator reaction is fast.
2.3. Analysis of slow and fast coupled auxiliary indicator reactions
We now want to consider the cases when the indicator is very fast (or very slow) in comparison to the non-observable reaction. We again emphasize that the completion of the indicator reaction cannot occur before the completion of the non-observable reaction for the coupled auxiliary enzyme reaction mechanism. Thus, a fast indicator is taken to be synonymous with a small maximum displacement of x*.
2.3.1. Analysis of extremely fast indicator reactions
The first form of the indicator reaction we will consider is the case when k3 and k4 are very large (in comparison to k1 and k2), and the indicator reaction is incredibly fast. What phase-space trajectories do in the case of the coupled auxiliary enzyme reaction is chase x*. Given the limits computed in (22), we expect the phase plane trajectory to “catch” x* very quickly when the indicator reaction is fast. This means that the coordinates given in (21) will serve as a very good approximation to the mass action equations over measurable timescales. In fact, we can simplify the expression even further in the limiting case: if the phase–plane trajectory slides down the c2–nullcline at a distance from x* that is negligibly small, then
(23) |
Equation (23) holds provided ε ≪ 1 and the non-observable reaction is in a QSS for the duration of the reaction. Therefore, the rate expression for the product formation is equivalent to the rate expression for the single-enzyme, single-substrate reaction when the indicator reaction is extremely fast. Notice that it is not necessary that λ ≪ 1 in order to impose the QSSA, and the restriction that be less than is not required: the QSSA will be valid as long as the phase–plane trajectory closely adheres to x*, and this will occur provided the indicator reaction is sufficiently fast, even if the initial auxiliary enzyme concentration () is large.
Quantitatively, s2 (during its accumulation to ) is expressible in terms of a Lambert-W function (when the indicator reaction is fast, see [4] for details),
(24) |
where Ω ≡ (V2/V1) · (1 + σ1)/σ1 and . If Ω−1 ≪ 1, then (24) is asymptotic to
(25) |
and the characteristic timescale that arises from (25) is
(26) |
Under the condition that the indicator reaction is fast, it is straightforward to show that
(27) |
Geometrically, the maximum values defined in (27) follow from the fact that the non-observable reaction is in QSS when the phase–plane trajec-tory catches x*; thus, c1 will be on the order of its maximum value when the trajectory reaches x*.
If the QSSA is valid when s2 and c2 reach their threshold concentrations, what role does λmax ≪ 1 play in establishing the validity of the QSSA? Rescaling the mass action equations with respect to yields
(28) |
Thus, if λmax ≪ 1, then the approach to x* will occur (approximately) along the c2-nullcline in the phase-plane. However, if λmax is order unity, then the trajectory will move (although not initially along the c2-nullcline) until it catches x*, at which time the indicator reaction will remain in a QSS. Thus, if λmax is large enough, a transient window occurs before QSS can be imposed, which is interpreted (geometrically) as the approach to x* in the phase-plane. In either case, we have an inner solution that approximates the approach to x*, and an outer solution that closely follows x* as it rolls back to the origin:
(29a) |
(29b) |
To ensure that initial conditions are met, it again follows that if V2 ≫ V1, then (29a) is
(30) |
Together, equations (29a) and (29b) comprise a composite solution, :
(31) |
The validity of (31) is easily verified numerically (see FIGURES 3a–3b), and is the appropriate composite solution to employ when .
2.3.2. Analysis of slow indicator reactions
The indicator reaction will be slow in comparison to the non-observable reaction if . Consequently we take δS ≫ 1 in the slow regime. Since is now fast relative to , we rescale the indicator reaction mass action equations with respect to T:
(32a) |
(32b) |
In (32b), , since when the indicator reaction is slow.Looking carefully at the scaled equations, we see that if the QSSA holds, or δS ≫ (1 + σ2)(1 + κ2), then
(33) |
If λ ≪ 1, then the QSSA assumption can be imposed when , in which case we have an inner solution, (34a), and an outer solution, (34b):
(34a) |
(34b) |
Together, equations (34a)–(34b) constitute a composite solution, “”, in the form of the Schnell–Mendoza equation [29]:
(35) |
and the validity of (35) is easily verified numerically (see Figures 4a–4b).
3. Zymogen activation coupled to its enzyme catalyzed reaction
We now turn our attention to the zymogen activation coupled to its enzyme catalyzed reaction described by the chemical equations (3)–(4). In this type of reaction [30, 31, 32, 33] the product of the non-observable reaction is the indicator enzyme E2 [5]. Following the same format utilized in the analysis of the coupled auxiliary enzyme reaction mechanism, we begin by scaling the mass action equations obtained by applying the law of mass action to (3)–(4).
3.1. Scaling of zymogen activation coupled to its enzyme catalyzed reaction
The mass action equations that govern this reaction are:
(36a) |
(36b) |
(36c) |
(36d) |
where denotes the concentration of activated E2 and is given by
(37) |
with denoting the initial non-observable S1 concentration. Thus, the indicator reaction is described by a non-autonomous set of equations with as its forcing term. As with the coupled auxiliary enzyme reaction, the basic analysis of the zymogen activation assay can be carried out with three timescales: and . The timescales and are identical to those defined earlier in the coupled auxiliary enzyme reaction. The additional timescale,
(38) |
is the depletion timescale of the indicator reaction (see [5] for details regarding the validity of these timescales). The quantity is the average amount of enzyme produced by the non-observable reaction over the duration of the indicator reaction. Rescaling the indicator reactions with respect to yields
(39a) |
(39b) |
where μ, β, , , max , and are given by:
(40a) |
(40b) |
The phase–plane description of the zymogen activation assay is markedly different than that of the auxiliary enzyme assay. For example, the condition μ ≪ 1 establishes the presence of a slow manifold when the indicator reaction is fast. However, unlike the auxiliary enzyme reaction, the s2 and c2–nullclines of (39a)–(39b) only intersect at the origin. This means that when ϖ ≪ 1, and the depletion timescale of the indicator reaction is much smaller than , that
(41a) |
(41b) |
should still be interpreted to mean that the solution (39a)-(39b) to lies at the intersection of both the c2 and s2–nullclines when ; however, since the intersection of the nullclines occurs at the origin, the biochemical interpretation is that the indicator reaction has completed. Another subtle difference between the phase–plane dynamics of the auxiliary enzyme assay and the zymogen activation assay is that both the s2 and c2–nullclines move in the phase–plane of the zymogen activation reaction, whereas only the s2–nullcline moves in the phase–plane of the auxiliary enzyme reaction.
In the subsections that follow, we will again invoke moving nullcline analysis to study the phase–plane dynamics of the zymogen activation assay. We will consider the limiting cases when ϖ ≪ 1 and ϖ ≫ 1, and illustrate the geometric interpretation of the RSA and QSSA for the zymogen activation assay through moving nullcline analysis.
3.2. The zymogen activation coupled to its enzyme catalyzed reaction exhibits a Laelaps manifold
In the case of the zymogen activation coupled to its enzyme catalyzed reaction, the time-dependent slow manifold propagates (swings) through the phase–plane as long as the non-observable reaction is producing E2. In this scenario, the c2–nullcline swings through the phase-plane almost like a (curved) windshield wiper rotating counterclockwise. The phase-plane solution to the indicator reaction initially follows behind the swinging c2–nullcline until it eventually catches it, at which time c2 reaches its maximum value. After the solution catches the c2–nullcline it slides down the c2–nullcline as it approaches the origin (see, MOVIE 2 in Supplementary Materials). We refer to this manifold as a Laelaps manifold after the Greek mythological dog that always caught what she was hunting. Analogously, the solution to the mass action equations “hunts” the moving the c2–nullcline (see FIGURES 5a–5d).
3.3. Analysis of slow and fast zymogen activation coupled to its enzyme cat 221 alyzed reaction
In this section we again consider the extreme cases when the indicator reaction is very fast or very slow in comparison to the non-observable reaction for the zymogen activation coupled to its enzyme catalyzed reaction. As mentioned, the major difference between the zymogen activation coupled to its enzyme catalyzed reaction and the coupled auxiliary reaction mechanism is that, while the indicator reaction for the coupled auxiliary enzyme assay cannot complete before the non-observable reaction, the completion of the secondary reaction can occur before or after the completion of the primary reaction.
3.3.1. Analysis of fast indicator reactions
If the indicator reaction is extremely fast, then ϖ ≪ 1. If μ ≪ 1, then the leading order approximation is
(42) |
and the depletion of substrate is given in terms of a Lambert-W function (again, see [5] for details regarding this particular solution):
(43) |
Notice that for fast indicator reactions, it is not necessary that , as the amount of activated enzyme concentration e2 produced by the nonobservable reaction will be small if the duration of the indicator reaction is short in comparison to the completion timescale ()of the non-observable reaction.
It is straightforward to determine the approximate time at which the phase-plane trajectory catches the moving c2–nullcline when β ≪ 1. If β ≪ 1, then (43) is approximately
(44) |
If the QSSA is valid, then it follows that
(45) |
Thus, , and vanishes when vanishes:
(46) |
Inserting (44) into (46) and subsequently solving for t yields the catch time, tc:
(47) |
Thus, the phase-plane trajectory will “catch” the c2-nullcline when t ≈ tc, provided the indicator reaction is extremely fast and β ≪ 1 (see FIGURES 6a-6b).
3.4. Analysis of slow indicator reactions
The average available enzyme approaches as the indicator reaction begins to slow down, and for sufficiently slow indicator reactions we take
(48) |
to be the appropriate depletion timescale [5]. Applying the previous scaling laws, we obtain
(49a) |
(49b) |
where μ and 𝜛 are now given by
(50) |
By inspection of (49a)–(49b), it is clear that if
(51) |
then s2 will be a slow variable for the duration of the non-observable reaction [5]. In fact, (51) is a RSA for slow indicator reactions. Furthermore, if μ ≪ 1, then we can assume a QSS with respect to the timescale:
(52) |
Combining (52) with (51) yields
(53a) |
(53b) |
which will hold provided μ ≪ 1
Next, we want to determine if the QSSA is valid when . Notice from (49a) that the QSSA will not hold for unless
(54) |
If we demand that (54) hold, then it follows that
(55) |
Geometrically, the invalidity of the QSSA over the timescale is due to the fact that the c2-nullcline propagates through the phase-plane at a speed that is much faster than the speed at which the solution trajectory propagates (see FIGURES 7a–7c for a phase–plane illustration).
As a final remark, we point out the subtle relationship between the RSA (51) and the QSSA (54). If the QSSA holds for , then
(56) |
If we demand that max , with
(57) |
then it follows that the depletion of s2 over the timescale will be negligible as long as . Thus, (51) is sufficient but not necessary for the validity of the RSA. In short, the separation will ensure that both the QSSA and the RSA are valid for .
4. Discussion
In this work, two types of coupled enzyme reaction mechanisms – the coupled auxiliary enzyme mechanism and zymogen activation coupled to its enzyme catalyzed reaction – have been studied through scaling analysis. The main contribution of this paper is the geometric understanding of how scaling laws and how singularly perturbed problems can be analyzed when multiple timescales contribute to the phase-plane dynamics in biochemical systems.
In the case of the indicator reaction of the coupled auxiliary enzyme reaction mechanism, we have shown that if the indicator reaction has adequate speed, then the mass action equations can be approximated by the intersection of the nullclines, x*. Thus, the QSSA is a natural consequence of the phase–plane geometry, and the requirement that the initial substrate concentration () be in excess of the initial auxiliary enzyme concentration () is not necessary for the validity of the QSSA, provided the indicator reaction has sufficient speed. Moreover, for extremely fast indicator reactions, the rate expression for product formation reduces to
from which and V1 could be estimated by analyzing progress curves generated by the indicator reaction. In contrast, we have shown that when the indicator reaction is extremely slow, the substrate concentration, s2, admits a composite solution comprised of two Schnell-Mendoza equations.
Additionally, the analysis of the zymogen activation coupled to its enzyme catalyzed reaction has been interpreted in the phase–plane via moving nullcline analysis. Specifically, we have illustrated that the invalidity of the QSSA occurs when the c2-nullcline propagates through the s2–c2 phase–plane at a speed that temporarily exceeds the speed of the solution.
We hope that the applied mathematics and chemical kinetics communities will continue to investigate these types of reactions, as we feel there are still interesting and novel results to uncover.
Supplementary Material
Highlights.
A singular perturbation analysis of coupled enzyme catalyzed reactions is performed.
The catalyzed reactions consist of a non-observable reaction as well as an indicator reaction. We show that the indicator reaction has a natural lag time.
A geometric description of slow/fast coupled reactions is formulated based on the motion of slow manifolds relative to the motion of the solution trajectories.
Conditions for the validity of the reduced equations are derived and inter- preted both geometrically and biochemically.
Acknowledgements
This work is partially supported by the University of Michigan Protein Folding Diseases Initiative, and Beilstein-Institut zur Förderung der Chemischen Wissenschaften through its Beilstein Enzymology Symposia. We are grateful to Antonio Baici (University of Zurich) for helpful discussions about this work during the 2017 Beilstein Enzymology Symposia (Rüdesheim, Germany. WS is a fellow of the Michigan IRACDA program (NIH/NIGMS grant: K12 GM111725). We are grateful to Philip K. Maini (University of Oxford), Richard Bertram and Theo Vo (Florida State University) for their helpful comments on early drafts of this manuscript.
Footnotes
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