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Department of Biochemistry and Food Science, Hebrew University of Jerusalem, Rehovot, Israel
Correspondence: Address reprint requests to H. Abeliovich, Dept. of Biochemistry and Food Science, Hebrew University of Jerusalem, Rehovot, Israel 76100. Tel.: 972-8-948-9060; E-mail: ahagai{at}agri.huji.ac.il.
| ABSTRACT |
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| INTRODUCTION |
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| THEORY |
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![]() | (1) |
The generalized Adair equation becomes
![]() | (2) |
denotes the fractional occupancy and
n
is the average binding number. As shown by others (2
![]() | (3) |
![]() | (4) |
n2
n
2 is the variance of the binding number (2
(1
) is simply the variance of the binomial distribution case where the probability of a site to be bound by the ligand is
and the probability for a site to be unoccupied is 1
. This is the case for a noncooperative protein with the same fractional saturation at the same ligand concentration. Therefore the slope of the Hill plot for a generalized Adair equation can be written as
![]() | (5) |
is the standard deviation of the binding number. This interpretation of the Hill plot holds for all values of
. Since the Hill coefficient is defined as the slope of the Hill plot at
, we can write for nH that
![]() | (6) |
One can readily verify that this equation will reduce to N in the extremum case of infinite positive cooperativity; in this case, the only observable forms of the protein are the unligated and the fully ligated species. Thus, at a saturation of 0.5 the standard deviation of the occupancy will be equal toN/2, and we can write
![]() | (7) |
Derivation of an empirical extremum principle for a negatively cooperating system of N identical binding sites
In contrast with the extremum case for positive cooperativity, in which no intermediately ligated species can be observed, I wish to define an empirical extremum scenario for negative cooperativity as a system with N identical binding sites where the first ligand binds with a finite dissociation constant, but subsequent bindings show an infinitely large dissociation constant. The experimental binding isotherm will reach an asymptote in which one ligand is bound. Subsequently, the observed (as opposed to the theoretical) maximal binding number is 1 and the standard deviation at the apparent fractional occupancy of 0.5, will be 0.5. By substituting these values into Eq. 6, we find for the slope of the Hill plot at
app = 0.5 that
![]() | (8) |
The minimal value of
is 4: this can be readily derived by setting the derivative with respect to
to 0 and identifying the value of
at the extremum as 0.5. Hence the actual value of N
(1
) (Eq. 4) will not exceed N/4, and the slope of the Hill plot at the experimentally determined half-saturation point cannot be <1/N, and we can write
![]() | (9) |
It is important to stress that this analysis is predicated on the fact that N (or more precisely, bmax, which equals N[P], where [P] is the protein concentration) is not explicitly known to the experimentalist; we assume that the experimentalist chooses the half-saturation point empirically according to standard curve-fitting procedures, at the concentration that yields one-half the extrapolated saturation value. If one uses the true value of N to define the half-saturation point (e.g., 2 in a tetramer) instead of the empirical saturation point, one is not able to derive this relationship, and the theoretical limit of nH becomes 0, as predicted by simple Koshland-Nemethy-Filmer models with infinite interaction between sites (13
). A more general approach to this issue is to point out that a minimal variance would require the protein to be in one of two binding states; inclusion of additional binding states would increase the variance. Since the half-saturation point would be between the two binding states, and neglecting other binding states, one arrives again at a binomial two-state distribution. Since the minimal
n between any two states is 1, we arrive at the same 0.25 value for the minimal variance of a binding curve for a homogeneous population of sites at half-saturation.
Distinguishing negative cooperativity from a mixture of binding sites
One of the problematic aspects of negative cooperativity is that a Hill coefficient less than unity can be observed with a heterogeneous mixture of binding sites, without assuming interactions between the sites. If we can demonstrate that a mixture of sites can empirically reach arbitrarily small values of nH, this will add a tool for distinguishing the two cases.
One may derive an expression for the average fractional saturation of a mixture of N monomer classes with different dissociation constants Ki, as
![]() | (10) |
is the fractional saturation of the ith species (or
i), and the summation runs over N protein species. This expression may be simplified by the introduction of the statistical weight
i, such that
![]() | (11) |
![]() | (12) |
We can write for the slope of the Hill plot, from Eq. 3,
![]() | (13) |
![]() | (14) |
Note that in this case N is the number of species, and is not linked to properties of the individual protein molecules. Therefore, the slope cannot have a lower limit that is related to the number of subunits. An extremum situation for a mixture, analogous to that derived above for an N-mer of equivalent binding sites, occurs when one of the species (species 1 for the sake of discussion) has a much smaller dissociation constant than the rest such that there exists a range of [L] in the experimental isotherm where K1 << [L] << Ki holds, for all i
1. This implies that species 1 is saturated under conditions where binding of the ligand to other species is negligible. As before, the experimentalist observes only the K1 isotherm, and higher terms in the summation are negligible at the half-saturation point of the K1 species. In this case, Eq. 14 reduces to
![]() | (15) |
i
0 for i > 1. As the experimentalist has chosen the halfway point of the K1 isotherm as the halfway point of the whole titration, one may also approximate [L]
K1, and the expression for the slope of the Hill plot at the experimental half-saturation point is then further simplified as
![]() | (16) |
This treatment yields an arbitrarily small value of nH for a mixture, since there are no a priori minimal value constraints on
i that depend on molecular properties of the binding species.
Examples of nH values for known proteins and enzymes with negative cooperativity
To verify the relevance of these derivations, one may survey recent literature and compare nH values of characterized enzymes (Table 1). Of the 11 enzymes listed in Table 1 with negative cooperativity, and which have a known subunit composition, none have an nH value of <1/N. In addition, it should be noted that higher oligomerization states are able to reach lower nH values, as predicted from the derivation described above.
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| DISCUSSION |
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| ACKNOWLEDGEMENTS |
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H.A. is supported by grant No. 496/03 from the Israel Science Foundation.
Submitted on January 26, 2005; accepted for publication April 4, 2005.
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