David Serrano-Molina1, Carlos Montoro-García1, María J Mayoral1,2, Alberto de Juan1, David González-Rodríguez1,3. 1. Nanostructured Molecular Systems and Materials Group, Departamento de Química Orgánica, Facultad de Ciencias, Universidad Autónoma de Madrid, 28049 Madrid, Spain. 2. Departamento de Química Inorgánica, Facultad de Ciencias Químicas, Universidad Complutense de Madrid, 28040 Madrid, Spain. 3. Institute for Advanced Research in Chemical Sciences (IAdChem), Universidad Autónoma de Madrid, 28049 Madrid, Spain.
Abstract
Self-sorting phenomena are the basis of manifold relevant (bio)chemical processes where a set of molecules is able to interact with no interference from other sets and are ruled by a number of codes that are programmed in molecular structures. In this work, we study, the relevance of chelate cooperativity as a code for achieving high self-sorting fidelities. In particular, we establish qualitative and quantitative relationships between the cooperativity of a cyclic system and the self-sorting fidelity when combined with other molecules that share identical geometry and/or binding interactions. We demonstrate that only systems displaying sufficiently strong chelate cooperativity can achieve quantitative narcissistic self-sorting fidelities either by dictating the distribution of cyclic species in complex mixtures or by ruling the competition between the intra- and intermolecular versions of a noncovalent interaction.
Self-sorting phenomena are the basis of manifold relevant (bio)chemical processes where a set of molecules is able to interact with no interference from other sets and are ruled by a number of codes that are programmed in molecular structures. In this work, we study, the relevance of chelate cooperativity as a code for achieving high self-sorting fidelities. In particular, we establish qualitative and quantitative relationships between the cooperativity of a cyclic system and the self-sorting fidelity when combined with other molecules that share identical geometry and/or binding interactions. We demonstrate that only systems displaying sufficiently strong chelate cooperativity can achieve quantitative narcissistic self-sorting fidelities either by dictating the distribution of cyclic species in complex mixtures or by ruling the competition between the intra- and intermolecular versions of a noncovalent interaction.
As
supramolecular chemistry evolves to the generation of systems
of increasing complexity that often mimic certain characteristics
of biological processes,[1−4] the study and comprehension of the performance of
interacting mixtures of multiple compounds becomes essential. This
is illustrated in natural systems through several levels of compartmentalization
that allow multiple self-assembled machineries to operate simultaneously
and orthogonally with precise spatial and temporal control.[5]Self-sorting arises in this
context as a key concept to define the collective behavior of a set
of molecules able to form a specific assembly with high fidelity and
no interference with the rest.[6−12] Self-sorting is the basis of relevant chemical processes like phase
separation, kinetic resolution, or self-replication and can be narcissistic if a molecule has a strong tendency for self-recognition
and hence binds its own kind, or social, if such
a molecule undergoes a self-discrimination process and instead shows
a high affinity for others.Self-sorting is governed by a number
of “codes” existing
in chemically programmed molecules that determine recognition or discrimination
phenomena.[7] Geometric complementarity is
an important one and dictates that any interacting set of molecules
must have matching size and shape to maximize such an interaction.
Another essential code resides in the nature of the functional groups
present in a molecule that give rise to specific noncovalent interactions
(H-bonding, metal–ligand, van der Waals, π–π
stacking, dipole–dipole, etc.) and thus determine its affinity
for others. Not only that, some noncovalent forces allow for a subset
of codes that additionally influence intermolecular interactions.
Some examples are the match between donor (D) and
acceptor (A) groups in complementary H-bonding fragments,[13−15] the modulation of the coordination number and geometry as a function
of the nature of metals and ligands,[16] the
preference for donor–acceptor stacking interactions between
electron-rich and electron-poor π-conjugated molecules,[17,18] the introduction of steric effects in closely interacting environments,[19−21] or the use of guests containing multiple binding epitopes to control
the kinetic and thermodynamic outcomes of multicomponent systems.[22] Even chirality can reliably function as a self-sorting
code.[23,24] Furthermore, the outcome of self-sorting
phenomena, particularly in complex mixtures, is frequently the result
of the combination of several codes. For instance, the formation of
a specific DNA duplex from a mixture of single strands with diverse
sequences is primarily a result of both a geometric and a H-bonding
pattern match. The two codes combined lead to stabilization increments
whenever G:C and A:T purine:pyrimidine contacts are established along
the double strand.[25]However, although
it is quite evident that a strong influence must
exist and many reported cyclic assemblies clearly profit from it,[26] little is known about the relationship between
self-sorting and cooperativity. Cooperativity is
responsible for the difference between the energy of a self-assembled
system as a whole and that expected from the sum of the individual
isolated interactions. It is intuitive to think that, in many cases,
a supramolecular process of positive cooperativity would enhance self-recognition,
whereas negative cooperativity would favor self-discrimination. Hence,
cooperativity, in its various forms,[27−30] should be regarded as an additional
powerful and programmable code to rule the fidelity of self-sorting
processes and this is what we demonstrate herein. In this work, we
establish qualitative and quantitative relationships between the chelate cooperativity of a H-bonded macrocyclic system,[31−33] quantified by the product K·EM (K = association constant; EM = effective molarity), and the self-sorting
fidelity when combined with other molecules that share identical geometry
and/or binding interactions.The noncovalent interaction used
in our system will be the complementary
triple H-bonding between purine and pyrimidine nucleobases (Figure ), namely, guanine
(G), 2-aminoadenine (abbreviated here as A), isoguanine
(iG), cytosine (C), uracil (U), and isocytosine (iC). The association constants (K) between complementary purine:pyrimidine pairs are well-known
in the literature[34] and have been specifically
measured by us in chloroform (ca. KG:C ∼ K = 2 × 104 M–1; KA:U = 3 × 102 M–1),[35] a chloroform–carbon tetrachloride
2:3 mixture (ca. KA:U = 3 × 103 M–1), and toluene (ca. KG:C ∼ K = 3 × 105 M–1; KA:U = 5 × 103 M–1)[36] for the lipophilic
nucleosides used in this work. As a consequence of their DAD–ADA H-bonding pattern, the A:U association
constant is considerably lower than G:C and iG:iC, which bind through DDA–AAD and ADD–DAA patterns. It must be noted that the reverse Watson–Crick
G:iC and iG:C pairs are also complementary
and bind with similar H-bonding strength than the canonical G:C and iG:iC pairs (see Figure S1A).[35]
Figure 1
Schematic representation
of the mono- and dinucleoside molecules
employed in this work to assess self-sorting phenomena, comprising
different terminal nucleobases and central blocks (see the Supporting Information. for full details on the
molecular structure and characterization). Proton nuclear magnetic
resonance (1H NMR) signals will be labeled in this work
by a color code (type of proton) and a shape code (type of supramolecular
species: cyclic tetramer, open oligomer, or monomer).
Schematic representation
of the mono- and dinucleoside molecules
employed in this work to assess self-sorting phenomena, comprising
different terminal nucleobases and central blocks (see the Supporting Information. for full details on the
molecular structure and characterization). Proton nuclear magnetic
resonance (1H NMR) signals will be labeled in this work
by a color code (type of proton) and a shape code (type of supramolecular
species: cyclic tetramer, open oligomer, or monomer).On the other hand, the cooperative process employed herein
will
be the cyclotetramerization of G–C, A–U, and iG–iC
dinucleoside monomers, which are prepared by coupling these complementary
purine–pyrimidine bases at the termini of linear π-conjugated
spacers (Figure ).[33] The establishment of Watson–Crick triple
H-bonding interactions between the edges of these dinucleoside molecules
disposes the pyrimidine 5- and purine 8-positions in a 90° angle,
which results in the assembly of unstrained cyclic tetramers with
high fidelity. This supramolecular process has been studied by us
during the last few years and has been the basis of systems showing
record chelate cooperativities,[37−40] nanostructured monolayers with well-defined cavities,[41] highly efficient reversible dispersing agents
for carbon nanostructures,[42] or nanotubes
self-assembled in organic[43] or aqueous[44] environments. It was demonstrated that AU cyclic tetramers (c(AU)4) showed EM values (EMAU ∼ 10–1–10–2 M) that are at least three orders
of magnitude lower than those exhibited by GC or GC macrocycles (c(GC)4 and c(GC)4; EMGC ∼ EM ∼ 102–103 M), which was
ascribed to entropic effects related to the number of degrees of freedom
that are lost upon cyclization.[45] The cyclotetramerization
constants (KC) for any given cyclic tetramer
can thus be estimated as KC = K4·EM using the reported and previously
mentioned KG:C, K, and KA:U reference association constants and EMGC, EM, and EMAU effective molarity values. Taking CHCl3 as a
reference solvent, these numbers lead to K·EM
products as high as ca. 106–107 for c(GC)4 and c(GC)4, and as low as ca. 1–10 for c(AU)4.Self-sorting fidelity will be experimentally assessed
in this work
by means of two techniques that employ different kinds of molecules
(Figure ) and operate
under different conditions. First, we will study self-sorting phenomena
by a combination of NMR experiments within the 10–1–10–4 M range. To this end, mono- and dinucleoside
monomers with a p-phenylene central block will be
employed.[37,45] Second, and in a complementary manner, we
will make use of circular dichroism (CD) and emission spectroscopy
in the 10–4–10–6 M range.
Since concentration is lowered considerably, we will generally use
the nonpolar toluene solvent, where association constants between
nucleobases is enhanced[36] to maintain a
high population of associated species. In particular, the occurrence,
or not, of Förster resonance energy transfer (FRET) processes
between donor and acceptor dye labeled molecules.[36,46] To this end, a battery of mono- and dinucleoside molecules, equipped
with linearly substituted donor bithiophene or acceptor BODIPY dyes
(d, a or a in Figure ), will be employed. These dyes were selected
taking into account: (1) their identical length, so that the formation
of mixed cyclic assemblies remains possible and self-sorting is not
driven by geometric codes and (2) their complementary absorption and
emission features, so that they constitute two couples of FRET donors
and acceptors. It is important to note that the EM values of the macrocycles
bearing these π-functional units do not change significantly
with respect to those calculated for a p-phenylene
central block, as demonstrated earlier,[46] since these BODIPY and bithiophene fragments are rigid and do not
bring new conformational possibilities. Even if the bulky peripheral
substituents can efficiently avoid the unspecific aggregation of these
larger π-conjugated monomers, we took care to work in a solvent-concentration
experimental window in which such further aggregation is not observed.
Unfortunately, mass spectrometry (MS) measurements are not very useful
to study this kind of mixtures. Even in the case of the most stable
individual H-bonded complexes, MS spectra display multiple fragmentation
peaks and provide a supramolecular picture that does not reflect properly
the situation in solution.[37] The structure
of all molecules used in this work is shown in Figure S0, while their synthetic and characterization details
can be found in the Supporting Information or in our previous work.[35−37,45,46]Finally, we will demonstrate the strong
authority of chelate cooperativity
on self-sorting phenomena in two different situations: (1) mixtures
of dinucleosides sharing the same geometry but with different complementary
base pairs and (2) mixtures of dinucleosides and mononucleosides that
share the same Watson–Crick complementary interaction.
Results
and Discussion
Self-Sorting in Mixtures of Dinucleosides
Sharing the Same Geometry
In the first situation, we compared
the supramolecular behavior
of mixtures of dinucleosides, able to assemble in cyclic tetramers,[45] and the corresponding mixtures of mononucleosides,
which are expected to bind in complementary purine:pyrimidine pairs
as a function of their H-bonding patterns (Figure ). We started examining the NMR spectra of
1:1 mixtures of complementary mononucleosides (G + C, A + U, and G + iC), where H-bonding formation
is evidenced in the downfield shifts and NOESY cross-peaks between
the relevant protons (Figure S2A). When
combining these mononucleoside pairs in quaternary 1:1:1:1 mixtures
(for instance: G + C + A + U or G + C + G + C; see Figure S2A), only minor changes
were detected in the 1H NMR spectra. However, NOESY experiments
displayed cross-peaks between multiple pairs, which suggests the absence
of self-sorting phenomena (Figure a,b). This is not surprising for the G + C + G + C mixture, which exhibited
cross-peaks between all possible combinations of regular (G:C, G:C) and reverse (G:C, G:C) Watson–Crick pairs
(see Figure S1A), as well as between G and G. However,
the G + C + A + U mixture also displayed cross-peaks between all possible pairs (G:C, A:U, and weaker G:U, A:C, G:A, and C:U cross-peaks),
which indicates that the complementary nature of the diverse H-bonding
fragments is not enough to generate strong recognition or discrimination
phenomena between nucleosides under these particular conditions.
Figure 2
Speciation
curves and downfield region of the NOESY spectra of
(a) a 1:1:1:1 mixture of G + C + A + U (CDCl3; 10–2 M; 298
K), (b) a 1:1:1:1 mixture of G + C + G + C (CDCl3; 10–2 M; 298 K),
(c) a 1:1 mixture of AU + GC (CDCl3/CCl4 2:3; 10–2 M; 253 K), and (d) a
1:1 mixture of GC + GC (THF-D8; 10–2 M; 298 K). These NMR solvents were
chosen either to (c) maintain a high association constant (K) between the corresponding Watson–Crick pairs and
thus a high population of associated species, or (d) to conveniently
dissolve the mixtures (see Figure S2C for
more details). For proton NMR codes, see Figure . Speciation curves were simulated using
reported association constants and effective molarities (see Section S1).[37,45]
Speciation
curves and downfield region of the NOESY spectra of
(a) a 1:1:1:1 mixture of G + C + A + U (CDCl3; 10–2 M; 298
K), (b) a 1:1:1:1 mixture of G + C + G + C (CDCl3; 10–2 M; 298 K),
(c) a 1:1 mixture of AU + GC (CDCl3/CCl4 2:3; 10–2 M; 253 K), and (d) a
1:1 mixture of GC + GC (THF-D8; 10–2 M; 298 K). These NMR solvents were
chosen either to (c) maintain a high association constant (K) between the corresponding Watson–Crick pairs and
thus a high population of associated species, or (d) to conveniently
dissolve the mixtures (see Figure S2C for
more details). For proton NMR codes, see Figure . Speciation curves were simulated using
reported association constants and effective molarities (see Section S1).[37,45]We then turned our attention to the behavior of 1:1 mixtures
of
dinucleosides (GC + AU or GC + GC) in similar experimental conditions. The GC + AU combination, comprising two dinucleosides
with orthogonal complementary pairs, displayed no change in their 1H NMR spectra upon mixing, and NOESY experiments clearly revealed
that G only binds to C, while A only binds to U (Figures c and S2B). Therefore, in contrast to the corresponding mononucleosides,
the GC + AU dinucleoside mixture exhibits
strong narcissistic self-sorting in the corresponding cyclic tetramers c(GC)4 and c(AU)4, which is also what we would expect in view
of the H-bonding pattern of the two Watson–Crick pairs involved.
Now, in the case of the GC + GC combination,
G:C/iG:iC Watson–Crick and
G:iC/iG:C reverse Watson–Crick
pairs may be formed with virtually identical association strength
(see Figure S1A), which would lead to a
complex mixture of cyclic and open oligomers. However, 1H and NOESY NMR spectra (Figures d and S2B) clearly showed
again that only the corresponding tetrameric cycles (c(GC)4 and c(GC)4) are formed, where G only binds to C, whereas iG binds exclusively to iC, and G:iC or iG:C cross-peaks are not detected.
Therefore, the high propensity of each dinucleoside to form the respective
cyclic tetramer with high cooperativities, in which G:C and iG:iC (or A:U) Watson–Crick interactions
are demanded, rules narcissistic self-sorting here. Unfortunately,
as described in Section S2 (see Figure S2C), AU + GC mixtures could not be studied because we were not able to
find a common solvent that provided at the same time sufficient stability
for the c(AU)4 cycle and
sufficient solubility for the c(GC)4 assembly under the experimental NMR conditions.This supramolecular scenario can be modeled through speciation
curves (Figure a–d,
more details can be found in the Supporting Information, Section S1) in which the relative abundance of
the different possible species in solution is represented as a function
of the overall concentration. First, when comparing quaternary mixtures
of mononucleosides, it is clear that the orthogonality of the Watson–Crick
complementary H-bonding patterns is decisive to achieve relatively
high self-sorting fidelities, which are represented by the ratio of
the concentration of a molecule in a target associated species and
the sum of the concentrations of such molecules in all possible species.[47] For instance, in the G + C + A + U mixture (Figure a) at the 1H NMR
concentration range (10–1–10–3 M; marked with a gray-shadowed area), the abundance of the G molecule in the G:C pair represents
about 90% of all associated species in which this mononucleoside is
present, the others being the G2 dimer and
noncomplementary G:U and G:A pairs, whose abundance is about 2–4% each. Due to
their weaker association, A:U complexes
are less abundant in these conditions. In contrast, in the G + C + G + C mixture (Figure b), the G molecule is shared in equal amounts by the G:C and G:C complexes, due to the virtually identical association strength
of these pairs.[35]Turning our attention
to the dinucleosides, it is clear from the
simulations that the moment that at least one of these molecules is
able to cyclize with strong cooperativities, such cycle becomes fully
populated and narcissistic self-sorting is complete under association
conditions. This is observed for both the GC + AU mixture (Figure c) and the GC + GC combination
(Figure d), so it
is independent on the orthogonality of the H-bonding patterns. If
chelate cooperativity is not high enough, however, self-sorting is
drastically reduced. Figure shows how self-sorting fidelity depends on chelate cooperativity
by simulating hypothetic situations, considering a similar mixture
of GC + GC but with varying EM
(Figure b) and K (Figure c) values for both cycles. In each case, the other thermodynamic
parameter (K or EM, respectively) was arbitrarily
fixed at K = 103 M–1 and EM = 10–2 M, since these are very typical
values found for cyclic assemblies in solution. It is clear that self-sorting
fidelity is close to 100% over a wider range of concentrations only
when chelate cooperativity is sufficiently high, which can be achieved
by increasing either EM, K, or both. Otherwise, the
cyclic assemblies are in equilibrium with nonsorted linear oligomers
and, at low concentrations, with the unbound monomers. Figure S1B shows the complete distribution of
supramolecular species at several K–EM combinations
for this hypothetical monomer mixture.
Figure 3
(a) Hypothetic situation
in which two monomers (M and M)
are mixed that are endowed with complementary binding units at the
edges, similar to GC + GC. Each
monomer can form linear supramolecular oligomers with itself or with
the other with an identical association constant K. In addition, each monomer can self-associate into cyclic tetramer
species with identical effective molarity EM. Narcissistic self-sorting
occurs when M and M exclusively self-associate into cyclic cM4 and cM4 species.
(b, c) Relationship between self-sorting fidelity (% relative abundance
of M (or M) in the cyclic cM4 (or cM4) species) as a function
of total concentration: (b) cyclotetramerization EM of cM4 (or cM4) at a fixed K = 103 M–1, or (c) association
constant K between M and/or M fixing EM at
10–2 M.
(a) Hypothetic situation
in which two monomers (M and M)
are mixed that are endowed with complementary binding units at the
edges, similar to GC + GC. Each
monomer can form linear supramolecular oligomers with itself or with
the other with an identical association constant K. In addition, each monomer can self-associate into cyclic tetramer
species with identical effective molarity EM. Narcissistic self-sorting
occurs when M and M exclusively self-associate into cyclic cM4 and cM4 species.
(b, c) Relationship between self-sorting fidelity (% relative abundance
of M (or M) in the cyclic cM4 (or cM4) species) as a function
of total concentration: (b) cyclotetramerization EM of cM4 (or cM4) at a fixed K = 103 M–1, or (c) association
constant K between M and/or M fixing EM at
10–2 M.While NMR experiments already provided a reasonably clear picture
of the self-assembly of mixtures of mono- and dinucleosides, we complemented
these studies with CD and fluorescence spectroscopy experiments using
the molecules labeled with d, a, and a FRET
dyes. The manifestation of narcissistic self-sorting in these mixtures
of π-functional dinucleosides would allow us to organize each
of them into independent assemblies with independent absorption and
emission features. Otherwise, whenever donor and acceptor molecules
are mixed in the same cyclic assembly, energy transfer processes would
be triggered that would primarily result in donor emission quenching.
We followed the same rationale as in the NMR experiments: the spectroscopic
features of mononucleoside complementary pairs or of dinucleosides
were examined first, and then, the relevant mixtures were generated
and investigated. In contrast to the NMR results, some self-sorting
tendency was observed in 1:1:1:1 mixtures of two orthogonal complementary
nucleobase pairs bearing donor and acceptor FRET functions, like dG + dC + aA + aU (Figure S3A), in comparison with mixtures
that have a single complementary pair, such as dG + dC + aG + aC, or mixtures
with nonorthogonal pairs, like dG + dC + aG + aC in which
donor:acceptor complexes can be formed that result in donor emission
quenching due to FRET to the acceptor counterpart.However,
in agreement with the NMR results, self-sorting was greatly
enhanced in the dinucleoside mixtures, independent of their H-bonding
pattern (see Figures and S3B–D). When donor and acceptor
dinucleosides having the same complementary pairs were 1:1 mixed (like GdC + GaC or AdU + AaU; Figures a and S3B), mixed cyclic tetramers, some
of them containing both donors and acceptors in close proximity, are
formed, and a strong donor emission quenching is then recorded. In
contrast, when donor and acceptor dinucleosides having orthogonal
complementary pairs were 1:1 mixed (for instance, GdC + AaU, AdU + GaC, GdC + AaU, or AaU + GaC; Figures b and S3C), spectroscopic changes were virtually negligible
with respect to the precursor solutions, indicating that FRET was
not activated and thus that each molecule remained associated narcissistically
in the corresponding cyclic tetramer. Even if the two pairs are not
orthogonal (like GC + GaC; Figures c and S3D) and the H-bonding
pattern does not play any role, self-sorting is again ruled by the
strong tendency of each monomer to cyclize narcissistically with strong
cooperativities.
Figure 4
Emission spectra in toluene of (a) GdC, GaC, and their 1:1 mixture
(λexc = 385 nm), (b) AdU, GaC, and their 1:1 mixture (λexc = 360 nm), (c) GC, GaC, and their 1:1 mixture (λexc = 381 nm), (d) GC, AaU, GaC, and their 1:1:1 mixture (λexc = 381 nm), or (e) GdC, GaC, GaC, and their 1:1:1 mixture (λexc = 386 nm).
In all cases, the sum spectrum of the individual samples is shown
with a dotted line so as to compare it with the experimental spectrum
of the corresponding binary/ternary mixtures.
Emission spectra in toluene of (a) GdC, GaC, and their 1:1 mixture
(λexc = 385 nm), (b) AdU, GaC, and their 1:1 mixture (λexc = 360 nm), (c) GC, GaC, and their 1:1 mixture (λexc = 381 nm), (d) GC, AaU, GaC, and their 1:1:1 mixture (λexc = 381 nm), or (e) GdC, GaC, GaC, and their 1:1:1 mixture (λexc = 386 nm).
In all cases, the sum spectrum of the individual samples is shown
with a dotted line so as to compare it with the experimental spectrum
of the corresponding binary/ternary mixtures.To push the system further, ternary mixtures containing the three
Watson–crick complementary pairs and the three dyes were also
generated (Figures d–e and S3E). As can be appreciated
in Figure d, the emission
spectrum of a GC + AaU + GaC 1:1:1 mixture is basically the sum of the emission
spectra of the three individual components, which supports strong
narcissistic self-sorting. This is in sharp contrast with a control
experiment in which d, a, and a dyes were 1:1:1
mixed in dinucleosides with the same complementary base pair, namely, GdC + GaC + GaC. As shown
in Figure e, this
ternary blend exhibits substantial quenching of the GdC emission, weaker quenching of GaC emission, and significant emission enhancement
of GaC, which indicates
that a nonsorted mixture of all possible macrocycles, where donors
and acceptors are combined in the same assembly and FRET is activated,
is formed in solution.Moreover, due to the different macrocycle
stability, we could selectively
dissociate the weaker c(AU)4 macrocycles in the presence of stronger c(GC)4 and c(GC)4 cycles.[45] This can be monitored
by NMR or CD as a function of temperature or solvent composition (see Figures and S4A–C). As previously demonstrated in
all of our published work so far with these dinucleosides endowed
with chiral groups,[37−39,42,43,45,46] a characteristic CD signal emerges upon cyclotetramerization. The
conformational “freezing” of the monomer skeleton upon
cyclization allows the ribose groups to interact and transfer their
chiral information to the π-conjugated backbone. In this way,
a Cotton effect appears upon cyclization that matches the NMR trends
in the same conditions and that can be used to monitor and quantify
cyclic tetramer formation in a complementary manner and within a more
dilute concentration window, whereby monomers or other noncyclic oligomers
are CD-inactive.
Figure 5
Selective cyclic tetramer dissociation. (a–d) Temperature-dependent
CD spectra in toluene of (a) a 1:1 GdC + AaU mixture, (b) a 1:1 AdU + GaC mixture, (c) a 1:1:1 + AaU + GaC mixture,
and (d) a 1:1:1 GdC + GaC + GaC mixture. (e, f) Downfield region of the 1H NMR
spectra of a 1:1 mixture of GC + AU in (e)
CDCl3 with increasing temperature or (f) CDCl3:CCl4 (2:3) with increasing DMSO-D6 content.
(g) Downfield region of the 1H NMR spectra of a 1:1 mixture
of GC + GC in CDCl3 with increasing DMSO-D6 content. In the last mixture,
the 1H signals of the c(GC)4 species are initially broad due to strong aggregation
in pure CDCl3. A small amount of DMSO needs to be added
to achieve complete solubility. For proton NMR codes, see Figure .
Selective cyclic tetramer dissociation. (a–d) Temperature-dependent
CD spectra in toluene of (a) a 1:1 GdC + AaU mixture, (b) a 1:1 AdU + GaC mixture, (c) a 1:1:1 + AaU + GaC mixture,
and (d) a 1:1:1 GdC + GaC + GaC mixture. (e, f) Downfield region of the 1H NMR
spectra of a 1:1 mixture of GC + AU in (e)
CDCl3 with increasing temperature or (f) CDCl3:CCl4 (2:3) with increasing DMSO-D6 content.
(g) Downfield region of the 1H NMR spectra of a 1:1 mixture
of GC + GC in CDCl3 with increasing DMSO-D6 content. In the last mixture,
the 1H signals of the c(GC)4 species are initially broad due to strong aggregation
in pure CDCl3. A small amount of DMSO needs to be added
to achieve complete solubility. For proton NMR codes, see Figure .Thus, as an example, Figure a,b shows the temperature-dependent CD spectra of 1:1
mixtures
of GdC + AaU and AdU + GaC, respectively, in toluene. That is, the bithiophene d and BODIPY a1 functional blocks, absorbing
in different regions of the UV–vis spectrum, are swapped here
in the corresponding GC and AU dinucleosides. At high temperatures,
the weaker c(AU)4 macrocycles are almost
entirely dissociated, and the corresponding AaU and AdU monomers afford
no CD signal. Only when the temperature is decreased, the signals
attributed to c(AaU)4 (Figure a) or c(AdU)4 (Figure b) arise.The stronger c(GdC)4 or c(GaC)4 macrocycles, on the contrary, remain
associated at
all temperatures in these conditions. We also analyzed the previous GC + AaU + GaC combination
in a similar way. Figure c shows the CD spectrum of this ternary mixture, revealing
the CD signatures of each self-sorted macrocycle in different spectral
regions. When heating up to 333 K, only the CD signal of the weaker c(AaU)4 cycle, in the 450–650 nm region, was seen to
vanish, as it progressively dissociates in the CD-silent AaU monomer. In contrast,[37] the much stronger c(GC)4 and c(GaC)4 ensembles resisted
the heating cycle without appreciable dissociation. Conversely, the
control, nonsorted GdC + GaC + GaC blend revealed no CD change in these experiments (Figure d) because, as shown
before, all G:C-bound macrocycles formed are sufficiently stable and
do not dissociate under these conditions. A related example, now monitored
by 1H NMR, is shown in Figure e, where we increased the temperature of
a 1:1 GC + AU mixture in CDCl3. At high temperatures, only the weaker c(AU)4 cycle is dissociated, which is evidenced by
the disappearance of the H-bonded U-imide proton signal at about 14
ppm and the concomitant appearance of a signal just below 11 ppm,
attributed to the same proton in a mixture of monomer and small open
oligomer species in fast equilibrium. This result is in line with
previous observations monitored by CD. Similar results were obtained
by increasing the volume fraction of DMSO-D6 in (2:3) CDCl3/CCl4 solutions of 1:1 GC + AU mixtures (Figure f), which led to the observation of two clear regimes. In
the first one, from 0 to 12% v/v of DMSO-D6, c(AU)4 is progressively dissociated in the
presence of the stronger c(GC)4 macrocycle, which show no sign of denaturation yet. This is evidenced
by the appearance of the AU monomer U-imide signal at ca. 11.8 ppm. In the second regime, starting over ca. 20% DMSO-D6, c(GC)4 is then dissociated to the monomeric species, showing
a G-amide signal at 10.9 ppm. It should be remarked, as noted in our
previous work,[37,45] that cyclic tetramers are always
in slow exchange in the NMR timescale with their respective monomeric/oligomeric
species, which highlights the strong cooperativity of the cyclotetramerization
processes. When performing the same experiment with the GC + GC mixture (Figure g), having similar Ka and EM values,[45] cyclic tetramer
dissociation occurs in parallel, and both GC and GC monomers are detected in slow exchange at ca. 10.8 ppm after a 80% DMSO-D6 was added (Figure S4A).In short, all of these results
clearly demonstrate that self-sorting
of cyclic assemblies is ruled mainly (for the G–C
+ A–U pair) or exclusively (for the G–C
+ iG–iC combination) by chelate cooperativity.
Self-Sorting
in Mixtures of Di- and Mononucleosides Sharing
the Same Watson–Crick Interaction
Our next challenge
then consisted in making the same intermolecular and intramolecular
interaction to compete. In other words, we examined if self-sorting
occurred in a mixture of mononucleosides and dinucleosides that share
the same Watson–Crick H-bonding interaction. We selected two
systems of very different cooperativity:[45]c(AU)4 (EMAU ∼ 10–1–10–2 M) and c(GC)4 (EMGC ∼102–103 M) and combined them with 1:1 mixtures of the corresponding
A + U and G + C mononucleosides.A first remarkable difference
was seen in titration experiments of the dinucleoside, initially associated
as cyclic tetramers, with the 1:1 mononucleoside mixture (Figures a,a′ and S5A). These experiments were conducted in a CDCl3:CCl4 (2:3) solvent mixture of AU and
in THF-D8 for GC. These solvent systems were
chosen so as to regulate the association constant (K) of the corresponding Watson–Crick pairs and maintain an
adequate population of associated species within the concentration
range studied.
Figure 6
Analysis of ternary mixtures of dinucleoside and complementary
mononucleosides. Top: AU + A + U. The c(AU)4 macrocycle
having a low chelate cooperativity is expected to self-sort the mixture,
to a small extent, leading to different associated species. Bottom: GC + G + C. On the contrary, the
high cooperativity of the c(GC)4 macrocycle leads mainly to a narcissistically self-sorted
mixture of c(GC)4 and the G:C complex. (a, a′) Titration experiments
of a 1:1 mixture of mononucleosides onto a dinucleoside solution monitored
in the 8–15 ppm region of the 1H NMR spectra, where
the most relevant H-bonded proton signals are found: (a) AU + 1:1 A + U in CDCl3:CCl4 (2:3) and (a′) GC + 1:1 G + C in THF-D8. (b, b′) Evolution
of the 8–15 ppm region of the 1H NMR spectra as
a function of temperature for (b) a 1:1:1 mixture of AU + A + U and (b′) a 1:2:2 mixture
of GC + G + C. (c, c′) NOESY spectra at τm = 500 ms and (d, d′) DOSY spectra for (c, d)
a 1:1:1 mixture of AU + A + U in CDCl3:CCl4 (2:3) and (c′, d′)
a 1:2:2 mixture of GC + G + C in THF-D8 (see Figure S5A–D for more details). For proton NMR codes, see Figure .
Analysis of ternary mixtures of dinucleoside and complementary
mononucleosides. Top: AU + A + U. The c(AU)4 macrocycle
having a low chelate cooperativity is expected to self-sort the mixture,
to a small extent, leading to different associated species. Bottom: GC + G + C. On the contrary, the
high cooperativity of the c(GC)4 macrocycle leads mainly to a narcissistically self-sorted
mixture of c(GC)4 and the G:C complex. (a, a′) Titration experiments
of a 1:1 mixture of mononucleosides onto a dinucleoside solution monitored
in the 8–15 ppm region of the 1H NMR spectra, where
the most relevant H-bonded proton signals are found: (a) AU + 1:1 A + U in CDCl3:CCl4 (2:3) and (a′) GC + 1:1 G + C in THF-D8. (b, b′) Evolution
of the 8–15 ppm region of the 1H NMR spectra as
a function of temperature for (b) a 1:1:1 mixture of AU + A + U and (b′) a 1:2:2 mixture
of GC + G + C. (c, c′) NOESY spectra at τm = 500 ms and (d, d′) DOSY spectra for (c, d)
a 1:1:1 mixture of AU + A + U in CDCl3:CCl4 (2:3) and (c′, d′)
a 1:2:2 mixture of GC + G + C in THF-D8 (see Figure S5A–D for more details). For proton NMR codes, see Figure .Upon addition of a few equivalents (i.e., <3
equiv.) of the competing 1:1 A + U mixture, the c(AU)4 cycle, which is in slow exchange at
the NMR timescale, was rapidly dissociated by formation of additional
Watson–Crick pairs between the added A + U mononucleosides and the terminal bases in the dinucleoside,
leading to U:AU, AU:A, or U:AU:A associated species
(see Figures a and 7c), which are in fast NMR exchange with other short
oligomers, the A:U pair, and dissociated
A and U. This was not the case of the more robust c(GC)4 macrocycle for which the intensity
of its 1H NMR signals was not measurably reduced after
the addition of a few equivalents of G + C (see Figures a′
and 7d). This means that the intra- and intermolecular
versions of the G:C Watson–Crick pair can coexist self-sorted
in solution without much interference, as long as the relative amount
of mononucleosides is not high. After the addition of a high excess
of G + C (above ca. 25 equiv; Figure d), the c(GC)4 species fully vanishes.
Figure 7
Simulation of ternary
mixtures of dinucleoside and complementary
mononucleosides. (a, b) Speciation curves showing the abundance of
diverse species as a function of total concentration for 1:1:1 mixtures
of (a) AU + A + U and (b) GC + G + C. (c, d) Distribution
of species as a function of the amount of 1:1 mononucleoside mixture
added: (c) AU + 1:1 A + U and
(d) GC + 1:1 G + C. In both
cases, the experimental titration data (squares; see Figure a,a′), obtained by 1H NMR signal integration, has been overlapped for comparison.
Simulations were obtained using reported association constants and
effective molarities (see Section S1).
Simulation of ternary
mixtures of dinucleoside and complementary
mononucleosides. (a, b) Speciation curves showing the abundance of
diverse species as a function of total concentration for 1:1:1 mixtures
of (a) AU + A + U and (b) GC + G + C. (c, d) Distribution
of species as a function of the amount of 1:1 mononucleoside mixture
added: (c) AU + 1:1 A + U and
(d) GC + 1:1 G + C. In both
cases, the experimental titration data (squares; see Figure a,a′), obtained by 1H NMR signal integration, has been overlapped for comparison.
Simulations were obtained using reported association constants and
effective molarities (see Section S1).Self-sorting of c(AU)4/c(GC)4 and A:U/G:C complexes can
also
be evaluated in concentration- or temperature-dependent experiments
(Figures b,b′
and S5B). For instance, due to the stronger
cooperativity of c(GC)4,
we can selectively dissociate the intermolecular G:C interaction by
increasing the temperature in THF-D8 without affecting
the population of c(GC)4 macrocycles.
As shown in Figure b′, the signals attributed to the G-amide and C-amine in the
mononucleosides shift upfield with temperature, due to a lower involvement
in H-bonding, whereas the same signals in the dinucleoside remain
unaltered in size, shape, and relative intensity, since c(GC)4 is not appreciably dissociated in these
conditions. A similar behavior was noted for the AU + A + U combination, but in this case the relative
amount of c(AU)4 does decrease
with increasing temperature (see Figure S5B) due to the lower resistance of this weaker cycle.A strong
chelate cooperativity not only dominates self-sorting
from a thermodynamic point of view but also the exchange kinetics
of the dinucleoside molecule in the cyclic tetramer or in the mixture
of oligomers is different for c(AU)4 and c(GC)4. Figure S5C displays the NOESY NMR spectra of AU + A + U and GC + G + C mixtures taken at different mixing times
(τ). At sufficiently long mixing
times (like τ =
500 ms, as shown in Figure c), the exchange cross-peaks between AU in c(AU)4 in the fast-exchanging mixture
of species are observed, and an exchange rate constant could be calculated
as k = 1.8 s–1. In the GC + G + C mixture (Figure c’), no exchange cross-peaks were
detected even at the longest mixing times or with higher amounts of
competing G + C mononucleosides, which highlights
the kinetic stability of the self-sorted c(GC)4 + G:C mixture. Furthermore,
DOSY NMR experiments, as shown in Figures d,d′ and S5D, clearly revealed different diffusion coefficients for the two sets
of species in slow exchange: (1) the larger c(AU)4 and c(GC)4 macrocycles and (2) the mixture of fast-exchanging oligomers
(for AU) or the G:C pair (for GC).Using the reference K and EM values,
speciation
curves could be generated for each of these AU + A + U and GC + G + C mixtures (Figure a,b) that simulate reasonably well our experimental results
and provide a quantitative insight into the degree of self-sorting
in these mixtures sharing the same interaction. As can be deduced
from these curves, a high chelate cooperativity is demanded to achieve
close to quantitative self-sorting in a wide range of concentrations.
For instance, at the experimental 10–3–10–2 M NMR concentration (shadowed area in Figure a,b) in 1:1:1 GC + G + C mixtures, the molar fraction of GC dinucleoside molecules associated as c(GC)4 is well above 95% (Figure b). The main competitor for c(GC)4, especially at higher concentrations,
is the trimolecular C:GC:G complex,
and to a much lower extent, the C:GC and GC:G bimolecular complexes. On the other hand,
within this concentration range in THF, the G:C complex accounts for ca. 80% of the total G concentration, the rest being dissociated G and the mentioned C:GC:G complex.
If we now turn our attention to the 1:1:1 AU + A + U mixture at the experimental conditions
employed, the c(AU)4 cycle
abundance is only ca. 40–50%, and the participation
of U:AU (or AU:A) bimolecular and U:AU:A trimolecular
complexes is notable (i.e., each of them >10%; Figure a). This evidences a far lower
degree of
self-sorting when chelate cooperativity is not so powerful. A more
detailed analysis of the dependence of self-sorting on chelate cooperativity,
represented by the product K·EM, as a function
of total concentration, can be found in Figure S1C.Finally, Figure c,d shows how the distributions of AU and GC species, at an initial 10–3 M concentration,
change
as increasing amounts of, respectively, A + U and G + C mononucleosides are added, thus
simulating the experiments displayed in Figure a,a′. Considering that mean K and EM values, obtained from previously published work,
were used in these simulations, the agreement with the experimental
data from the corresponding titrations (shown as colored squares)
is reasonable. In both cases, the cyclic tetramer population decreases
at the expense of U:AU, AU:A, U:AU:A/C:GC, GC:G, and C:GC:G species, but the c(GC)4 assembly, exhibiting a stronger cooperativity,
can resist higher amounts of the mononucleoside mixture. Remarkably,
self-sorting fidelity for c(GC)4 can be maintained as high as >95%, provided the amount
of G + C added does not surpass ca. 5 equiv.
Conclusions
In summary, a combination
of one-dimensional (1D) and two-dimensional
(2D) NMR, CD, and fluorescence spectroscopy with donor–acceptor
FRET pairs, in diverse solvents and concentration ranges, clearly
confirms the dominant role that chelate cooperativity can have in
relatively complex mixtures. If the product(s) K·EM for a given (set of) cyclic species is (are) high enough, self-sorting
(in this case, narcissistic self-sorting) can become quantitative.
On one hand, we have proven this phenomenon in mixtures of dinucleoside
molecules with identical geometry that are able to self-assemble into
Watson–Crick H-bonded cyclic tetramers. It is here the strong
propensity of (some of) the dinucleosides to form independently its
own macrocycle, and not H-bonding complementarity, which drives narcissistic
self-sorting. On the other hand, we have demonstrated that cyclic
and noncyclic species that are bound by the same noncovalent interaction,
or, in other words, the intra- and intermolecular version of a noncovalent
interaction, can independently coexist as long as the cyclic species
enjoys a strong intramolecular cooperativity and their relative concentration
is comparable.This is certainly not the first case in which
chelate cooperativity
has a strong influence on the self-sorting distribution of a mixture
of supramolecular cyclic species. However, this work does represent
the first qualitative and quantitative study on the relevance of chelate
cooperativity on self-sorting and provides the first examples, to
the best of our knowledge, in which an exclusive dominance is clearly
demonstrated. The quantitative analysis performed herein is of course
designed for these specific supramolecular structures. Due to the
monomer structure and the geometry of Watson–Crick pairs, the
dinucleoside molecules studied herein arrange in rectangular assemblies
with corners showing 90° associations. This results in the absence
of the structural strain and is one of the reasons for the high chelate
cooperativities attained upon cyclotetramerization. Any structural
deviation from this geometry changes the supramolecular scenario completely.
Still, qualitative conclusions from this work are certainly applicable
to other systems that, due either to a different monomer structure
or a different binding geometry, associate in macrocycles or prisms
with diverse molecularities and thermodynamic stabilities. Hence,
the tools employed and conclusions attained here are general for any
related supramolecular system in which chelate cooperativity is present,
and intra- and intermolecular interactions are made to compete.
Authors: Carlos Montoro-García; Jorge Camacho-García; Ana M López-Pérez; Nerea Bilbao; Sonia Romero-Pérez; María J Mayoral; David González-Rodríguez Journal: Angew Chem Int Ed Engl Date: 2015-04-17 Impact factor: 15.336
Authors: Sonia Romero-Pérez; Jorge Camacho-García; Carlos Montoro-García; Ana M López-Pérez; Alfredo Sanz; María José Mayoral; David González-Rodríguez Journal: Org Lett Date: 2015-05-12 Impact factor: 6.005
Authors: Carlos Montoro-García; Nerea Bilbao; Iris M Tsagri; Francesco Zaccaria; Maria J Mayoral; Célia Fonseca Guerra; David González-Rodríguez Journal: Chemistry Date: 2018-07-02 Impact factor: 5.236