In proteins, the amino acids Phe, Tyr, and especially Trp are frequently involved in π interactions such as π-π, cation-π, and CH-π bonds. These interactions are often crucial for protein structure and protein-ligand binding. A powerful means to study these interactions is progressive fluorination of these aromatic residues to modulate the electrostatic component of the interaction. However, to date no protein expression platform is available to produce milligram amounts of proteins labeled with such fluorinated amino acids. Here, we present a Lactococcus lactis Trp auxotroph-based expression system for efficient incorporation (≥95%) of mono-, di-, tri-, and tetrafluorinated, as well as a methylated Trp analog. As a model protein we have chosen LmrR, a dimeric multidrug transcriptional repressor protein from L. lactis. LmrR binds aromatic drugs, like daunomycin and riboflavin, between Trp96 and Trp96' in the dimer interface. Progressive fluorination of Trp96 decreased the affinity for the drugs 6- to 70-fold, clearly establishing the importance of electrostatic π-π interactions for drug binding. Presteady state kinetic data of the LmrR-drug interaction support the enthalpic nature of the interaction, while high resolution crystal structures of the labeled protein-drug complexes provide for the first time a structural view of the progressive fluorination approach. The L. lactis expression system was also used to study the role of Trp68 in the binding of riboflavin by the membrane-bound riboflavin transport protein RibU from L. lactis. Progressive fluorination of Trp68 revealed a strong electrostatic component that contributed 15-20% to the total riboflavin-RibU binding energy.
In proteins, the amino acids Phe, Tyr, and especially Trp are frequently involved in π interactions such as π-π, cation-π, and CH-π bonds. These interactions are often crucial for protein structure and protein-ligand binding. A powerful means to study these interactions is progressive fluorination of these aromatic residues to modulate the electrostatic component of the interaction. However, to date no protein expression platform is available to produce milligram amounts of proteins labeled with such fluorinated amino acids. Here, we present a Lactococcus lactis Trp auxotroph-based expression system for efficient incorporation (≥95%) of mono-, di-, tri-, and tetrafluorinated, as well as a methylated Trp analog. As a model protein we have chosen LmrR, a dimeric multidrug transcriptional repressor protein from L. lactis. LmrR binds aromatic drugs, like daunomycin and riboflavin, between Trp96 and Trp96' in the dimer interface. Progressive fluorination of Trp96 decreased the affinity for the drugs 6- to 70-fold, clearly establishing the importance of electrostatic π-π interactions for drug binding. Presteady state kinetic data of the LmrR-drug interaction support the enthalpic nature of the interaction, while high resolution crystal structures of the labeled protein-drug complexes provide for the first time a structural view of the progressive fluorination approach. The L. lactis expression system was also used to study the role of Trp68 in the binding of riboflavin by the membrane-bound riboflavin transport protein RibU from L. lactis. Progressive fluorination of Trp68 revealed a strong electrostatic component that contributed 15-20% to the total riboflavin-RibU binding energy.
In proteins, aromatic amino acid side
chains are often engaged
in noncovalent π interactions such as π–π,
cation−π, and CH−π interactions contributing
to protein stability, protein–ligand interactions, catalysis,
and self-assembly.[1−8] Identifying these interactions and quantifying their strength are
not straightforward. The results of mutation studies aimed at probing
the interaction are difficult to interpret because of the perturbation
of the local protein structure if one of the aromatic residues is
replaced by a nonaromatic amino acid. A more direct experimental approach
to evaluate π interactions is the progressive fluorination of
aromatic amino acids originally developed for quantitating cation−π
interactions in neurotransmitter-gated ion channels.[3,4,9] In this approach an aromatic residue
in the cation binding site is replaced by an analog containing one
to four fluorine substituents in its aromatic side chain.[10] Introduction of a strongly electronegative fluorine
atom decreases the electron density in the aromatic π-electron
cloud, thereby reducing the electrostatic attraction between the cation
and the π-electron system. The electrostatic potential of the
aromatic ring becomes essentially zero when four fluorine atoms are
introduced in a Trp side chain or three fluorine atoms in a Phe side
chain.[7] When the labeled aromatic residue
is involved in a cation−π interaction, a plot of the
interaction energy against the number of fluorine atoms in the aromatic
amino acid or against the in silico calculated cation−π
interaction energy is expected to yield a linear free energy relationship.[9] Linear free energy relationship analysis has
become the benchmark to identify and quantitate the electrostatic
component of cation−π interactions. Fluorine-labeled
proteins have been successfully expressed in Xenopus laevis oocytes, using a site-specific, noncanonical amino acid expression
system based on a chemical tRNA aminoacylation strategy.[9] This approach allowed evaluation of cation−π
interactions in many ion channels and neuroreceptors[11,12] as well as Phe-Phe stacking in the D2 dopamine receptor.[13] Because of the very low protein yield (pmol),
only labeled proteins can be investigated of which the function can
be probed by changes in the membrane current of oocytes. As an alternative
of the oocyte expression system, a higher yield method for introducing
fluorinated amino acids, solid-state peptide synthesis, has been used,
which was successful for a few small proteins and peptides (<40
residues).[14−17] Here, we present an expression system for the efficient biosynthetic
incorporation of fluorinated Trp analogs, yielding milligram amounts
of labeled proteins, using a Trp auxotroph of Lactococcus
lactis that constitutively overexpresses the tryptophanyl
tRNA synthethase of L. lactis. With this expression
system, the role of π–π interactions in the interaction
of aromatic drugs with the L. lactis protein LmrR
was investigated in detail showing that π–π interactions
play a major role in drug binding by this protein.LmrR is a
transcriptional repressor regulating the expression of
the multidrug ABC transporter LmrCD.[18] In
the apo state, LmrR shows high affinity for the promotor region of
LmrRCD. This affinity is reduced upon binding of a drug at its drug-binding
site, enabling expression of the multidrug transporter.[18−20] LmrR is a homodimeric protein with the drug binding site at the
dimer interface (Figure S1).[19] Central in this binding site are two Trp residues,
W96 and W96′ (residue 96 from the other monomer), oriented
face-to-face at 7 Å from each other. This space is sufficient
for an aromatic moiety of a drug to stack between these two Trp side
chains.[19] Indeed, inspection of the LmrR-Hoechst33342,
LmrR-daunomycin, and LmrR-riboflavin crystal structures suggests that
π–π interactions are important for binding the
drugs.[19,20] Mutating W96 to Ala or Tyr abolishes the
binding.[19] In contrast, the importance
of the π–π interactions for drug binding by LmrR
has recently been challenged by Takeuchi et al.[21] By probing the conformational dynamics of LmrR with a variety
of biophysical techniques, it was concluded that drug binding by LmrR
is entropy driven since an increase of conformational flexibility
was observed in LmrR upon drug binding. Desolvation of the hydrophobic
compound-binding pore of LmrR was suggested as another source generating
entropy. Isothermal titration calorimetry data supported this conclusion
by showing that the changes in enthalpy upon drug binding were small
or unfavorable.To investigate the energetics of drug binding
by LmrR in more detail,
and to quantify the contribution of π–π interactions
to the overall binding energy, we applied the progressive fluorination
approach to W96 in LmrR. Our data indicate that π–π
stacking enhances the affinity of LmrR affinity for aromatic drugs
by up to 70-fold. Presteady state kinetics confirm the enthalpic nature
of this interaction as progressive fluorination of W96 decreases the
affinity of the protein for the drug, as evidenced by an increased koff rate of the LmrR–drug complex. Furthermore,
crystal structures of labeled LmrR proteins in complex with daunomycin
(Dau) showed that progressive fluorination did not significantly affect
the protein conformation. A further successful application of our
method was the progressive fluorination of a Trp residue in the S
component of the riboflavin (RBF; vitamin B2) transport protein RibU
from L. lactis. This allowed for the first time quantification
of the electrostatic contribution of an aromatic residue in a key
step of a membrane protein transport process.
Results
Biosynthetic Incorporation of Trp Analogs into the LmrR Protein
The LmrR protein contains two unique Trp residues, W96 in the drug
binding site and W67 at a solvent exposed position, approximately
30 Å away from W96 and the drug binding site (Figure S1). Thus, W67 is not involved in drug binding. LmrR
proteins, each labeled with a different Trp analog, were expressed
using the L. lactis Trp auxotroph strain PA1002.
This Trp auxotroph strain also contains the plasmid pMG36e-TrpRS,
which gives constitutive overexpression of lacTrpRS. lacTrpRS is the
tryptophanyl-tRNA synthetase from L. lactis, which
features a relaxed substrate specificity for Trp analogs.[22] Overexpression of lacTrpRS is a prerequisite
for a high incorporation efficiency of the Trp analogs used in this
study, except for 5-fluorotryptophan (5FW).[22]The final expression levels of LmrR labeled with 5FW and 5,6-difluorotryptophan
(5,6diFW) were similar to that of wild type protein, about 5–9
mg/L, while LmrR labeled with 5,6,7-trifluorotryptophan (5,6,7triFW),
4,5,6,7-tetrafluorotryptophan (4,5,6,7tetraFW), and 5-methyltryptophan
(5MeW) gave slightly lower expression levels. The incorporation efficiency
of the Trp analog was determined by MALDI-TOF after tryptic digestion
of the purified protein. As shown in Figure S2, the Trp-analog-containing peptides gave strong signals clearly
distinct from native Trp-containing peptides. The highest incorporation
efficiency was observed for 5,6diFW (>99% at both Trp positions),
followed by 5MeW, 5FW, and 5,6,7triFW with at least 95% incorporation
efficiency at both Trp positions (Table ). The incorporation efficiencies of 4,5,6,7tetraFW
were >96% and 76% for positions 96 and 67, respectively (Table ). Taken together,
LmrR labeled with one of the four fluorinated Trp analogs or with
5MeW can be well expressed in our L. lactis expression
system, yielding milligram amounts of recombinant protein.
Table 1
Trp Analog Incorporation Efficiency
at Positions 67 and 96 in LmrR
Incorporation
efficiency
Trp Analog
Positon 67
Position
96
5MeW
>99%
>96%
5FW
>95%
>99%
5,6diFW
>99%
>99%
5,6,7triFW
>98%
>97%
4,5,6,7tetraFW
>76%
>96%
Binding Affinity of Dau and RBF to LmrR
LmrR binds
different drugs including Dau and RBF.[19,20] To investigate
the importance of π–π interactions for drug binding,
the electron density in the π electron cloud of W96 was modulated
by progressive fluorination of the W96 indole side chain. The binding
affinities of LmrR for Dau and RBF decreased upon increasing degrees
of fluorination of W96 (Table , Figure S3). For instance, at
25 °C, the affinity of LmrR for RBF decreased 70-fold, with the kd going from 460 nM (W-LmrR) to 33 400
nM (4,5,6,7tetraFW-LmrR). Dau behaved less extreme, with the kd decreasing 6-fold (Table ). These results show that the drug binding
affinity is very sensitive to the electron density in the π
electron cloud, demonstrating a significant contribution of the electrostatics
of the π–π interaction to the total LmrR-drug binding
energy. As shown in Figure , the decrease of the free energy of binding, ΔG, derived from the Kd values
at 25 °C, shows for both drugs a linear dependence on the number
of fluorine substituents in the indole moiety.
Table 2
Dissociation Constants of LmrR Variants
with Dau and RBF
Binding
affinity, Kd (nM) (Mean ± SD)a
LmrR protein
Dau at 10 °C
Dau
at 25 °C
RBF at 25 °C
5MeW
104 ± 5
370 ± 30
380 ± 8
W
315 ± 40
450 ± 50
460 ± 50
5FW
280 ± 40
430 ± 80
970 ± 50
5,6diFW
560 ± 50
1050 ± 60
4990 ± 60
5,6,7triFW
590 ± 60
1440 ± 100
8370 ± 200
4,5,6,7tetraFW
1680 ± 70
2880 ± 500
33400 ± 16000
“SD”, standard deviation
(n = 3).
Figure 1
Relationship between the number of fluorine atoms in the indole
group of W96 in LmrR and the binding energy (ΔG) upon binding of (blue) RBF at 25 °C, (red) Dau at 25 °C,
and (black) Dau at 10 °C. The bars represent standard deviations
(n = 3).
“SD”, standard deviation
(n = 3).Relationship between the number of fluorine atoms in the indole
group of W96 in LmrR and the binding energy (ΔG) upon binding of (blue) RBF at 25 °C, (red) Dau at 25 °C,
and (black) Dau at 10 °C. The bars represent standard deviations
(n = 3).While fluorine substitutions of Trp decrease the
electrostatic
potential of the indole π electron cloud, a methyl substitution
increases it, as methyl groups are electron-donating.[4] As shown in Table the affinity of LmrR for the Dau and RBF drugs increases,
compared to wild type, when W96 is methylated at the 5-position. When
the Dau and RBF binding energies of this and the other five LmrR proteins
are plotted against the in silico calculated cation-π
interaction energies[4] of indole and the
indole analogs incorporated at position 96, also a linear free energy
relationship is obtained (Figure S4). This
result further supports the electrostatic contribution of π–π
interactions to drug binding by LmrR.
Dau-LmrR Binding Experiments at 10 °C
The thermodynamics
of the LmrR–Dau interaction was recently reported to be mostly
entropy driven.[21] To investigate this point
in more detail the temperature dependence of the LmrR–Dau interaction
was studied by surface plasmon resonance (SPR) experiments at 10 and
25 °C. As shown in Table , a lower temperature increased the binding affinity 1.4–3.5-fold
for all LmrR variants. The free energy of binding, ΔG, derived from the dissociation constants, is shown in Table . Comparing ΔG10 °C – ΔG25 °C for Dau shows that the ΔΔG values are not significantly different from 0 kJ/mol,
considering the standard deviations of typically <2% for the ΔG data presented in Table . The average ΔΔG from
6 LmrR variants is around 0.1 kJ/mol. These values imply that the
temperature effects on the ΔGs are negligible,
which would be in line with a low contribution of entropic factors
to the Dau–LmrR interaction.
Table 3
Experimental Free Energy ΔG of Ligand Binding to LmrR Variants and Free Energy Difference
ΔΔG of Dau Binding to LmrR Variants between
at 10 and 25 °C
Dau (kJ/mol)
ΔΔG Dau (kJ/mol)
RBF (kJ/mol)
LmrR protein
ΔG10 °C
ΔG25 °C
ΔG10 °C – ΔG25 °C
ΔG25 °C
5MeW
–37.8
–36.7
–1.1
–36.6
W
–35.2
–36.2
0.9
–36.2
5FW
–35.5
–36.4
0.9
–34.3
5,6diFW
–33.9
–34.1
0.2
–30.2
5,6,7triFW
–33.7
–33.3
–0.4
–29.0
4,5,6,7tetraFW
–31.3
–31.6
0.3
–25.7
The SPR assays can also inform on the kinetics of
the LmrR-drug
interaction, but for the assays at 25 °C, the kon and koff rates could not
be analyzed properly, because the rates were too fast at those conditions.
At 10 °C, the koff rates could be
determined, except for 5,6diFW-LmrR, and the results are presented
in Table . The koff rates increase when the electron density
of the π-electron cloud in W96 decreases, in support of a sizable
contribution of the π–π stacking interaction to
the drug binding affinity.
Table 4
koff Rates
of Dau Binding to LmrR Variants Obtained from SPR Response Traces
at 10 °C
LmrR protein
koff (s–1) (Mean ± SD)a
5MeW
0.2 ± 0.04
W
0.4 ± 0.07
5FW
0.6 ± 0.001
5,6diFW
—b
5,6,7triFW
0.8 ± 0.1
4,5,6,7tetraFW
1.5 ± 0.09
“SD”, standard deviation
(n = 3).
Data could not be determined.
“SD”, standard deviation
(n = 3).Data could not be determined.The previously reported LmrR experiments that led
to the conclusion
that Dau binding is mostly entropy driven[21] were conducted in a different buffer system. We noticed that LmrR,
when mixed with Dau, is prone to aggregation in this buffer system.
This aspect was studied in more detail using dynamic light scattering
and gel filtration experiments, and these experiments are presented
in the Supporting Information.
Crystal Structures
To assess whether the Trp analogs
influence the overall structure of LmrR and its drug-binding pocket,
crystal structures were determined of LmrR with bound Dau for LmrR
variants 5FW, 5,6diFW, and 5,6,7triFW (Figure ; Table S1). The
crystal structures belong to the same crystal form (space group C2
with very similar unit cell dimensions) and were refined to resolutions
varying between 2.55 and 2.15 Å. Although the crystal structures
show generally good geometry, they all suffer from high crystallographic
B-factors (average B-factors for protein atoms varying between ∼57
and ∼89 Å2, Table S1), indicative of static disorder in the crystals. Nevertheless, the
electron density maps were of sufficient quality to identify the Trp
analogs at positions 67 and 96 in both polypeptide chains of the dimeric
LmrR variants. No major differences were observed in the backbone
and side chain conformations around residues W67 and W96, compared
to wild-type LmrR (Figure S5).[19] Moreover, as shown in Figures and S6, the binding
mode of Dau to LmrR is not substantially affected by the presence
of the fluorinated Trp analogs. Dau is bound in the same way as in
the wild-type protein, with the aromatic part of Dau sandwiched between
two Trp analog residues, stabilized by π–π stacking
interactions. Thus, we conclude that the different Dau binding affinities
observed for the LmrR variants are not related to conformational changes
of the protein or significantly altered ligand binding modes.
Figure 2
Binding modes
of daunomycin in the crystal structures of wild-type
LmrR and the three LmrR W96 fluoro-substituted variants. (A) Wild-type
LmrR-Dau complex (PDB entry 3F8F(19)), (B) 5FW-LmrR-Dau (PDB
entry 7QZ6,
this work), (C) 5,6diFW-LmrR-Dau (PDB entry 7QZ8, this work), (D)
5,6,7triFW-LmrR-Dau (PDB entry 7QZ7, this work). The two chains of the LmrR
dimer are colored in cyan and green. Daunomycin is colored in yellow
(carbons), red (oxygens), and blue (nitrogens).
Binding modes
of daunomycin in the crystal structures of wild-type
LmrR and the three LmrR W96 fluoro-substituted variants. (A) Wild-type
LmrR-Dau complex (PDB entry 3F8F(19)), (B) 5FW-LmrR-Dau (PDB
entry 7QZ6,
this work), (C) 5,6diFW-LmrR-Dau (PDB entry 7QZ8, this work), (D)
5,6,7triFW-LmrR-Dau (PDB entry 7QZ7, this work). The two chains of the LmrR
dimer are colored in cyan and green. Daunomycin is colored in yellow
(carbons), red (oxygens), and blue (nitrogens).
RibU
Next, the potential of the developed expression
system was explored for progressive fluorination of W68 in the S component
of the riboflavin (RBF) transporter, RibU, from L. lactis. This integral membrane protein of 22.8 kDa binds its cognate ligand
RBF with very high affinity (Kd ≈
1 nM).[23] RibU has three Trp residues at
positions 68, 79, and 97, and after mutating each Trp to a Tyr, only
mutating W68 was found to affect the RBF binding affinity as it dropped
∼100-fold for the W68Y mutant.[23] Additional evidence that W68 is involved in RBF binding came from
fluorescence experiments as the fluorescence of W68 became completely,
and RBF fluorescence almost completely, quenched upon RBF binding.
This quenching allows measuring the binding affinity via fluorescence
titration experiments.[23] In the present
work, the fluorination approach was applied for W68. RibU mutant W97Y
could be efficiently overexpressed (Figure S7), but the yield of the purified protein was less than found for
LmrR, a typical observation when comparing yields of water-soluble
and membrane-bound proteins. Like for LmrR, progressive fluorination
of Trp resulted in lower expression levels but enough purified RiBU
was obtained for evaluating its interaction with RBF. Only for RibU
labeled with 4,5,6,7-tetraFW the yield was too low (Figure S7) for a reliable determination of the RBF binding
affinity.Fluorescence titration experiments of the different
RibU constructs with RBF at 20 °C allowed estimation of the impact
of W68 fluorination or 5-methylation on the binding affinity (Figure and Table ). Progressive fluorination
of W68 resulted in a gradual 15-fold lowering of the affinity when
up to three fluoro-atoms are introduced, while the affinity is somewhat
enhanced for RibU labeled with 5-MeW.
Figure 3
Titration of Trp analog labeled RibU W97Y
proteins with RBF. The
RBF fluorescence was measured at the indicated RBF concentrations
in the absence (triangles) or presence (dots) of the W97Y RibU variant
(see insets). The difference between these two signals were calculated
to build the titration curve. This curve was used to compute the RBF Kd (see Experimental Section in the Supporting Information). Panels from left to
right present the results for RibU W97Y, labeled with 5MeW, 5FW, 5,7diFW,
and 5,6,7triFW, respectively.
Table 5
Dissociation Constants of RibU Variants
with RBF at 20°C
RibU variants
Binding affinity, Kd (nM) (Mean ± SD)a
5MeW
1.2 ± 0.1 (n = 2)
W
1.8 ± 0.8 (n = 3)
5FW
5.4 ± 1.0 (n = 4)
5,7diFW
8.2 ± 0.9 (n = 3)
5,6,7triFW
24.9 ± 2.7 (n = 2)
“SD”, standard deviation.
Titration of Trp analog labeled RibU W97Y
proteins with RBF. The
RBF fluorescence was measured at the indicated RBF concentrations
in the absence (triangles) or presence (dots) of the W97Y RibU variant
(see insets). The difference between these two signals were calculated
to build the titration curve. This curve was used to compute the RBF Kd (see Experimental Section in the Supporting Information). Panels from left to
right present the results for RibU W97Y, labeled with 5MeW, 5FW, 5,7diFW,
and 5,6,7triFW, respectively.“SD”, standard deviation.Converting the Kd’s
into the
free energy of binding, ΔG, and plotting ΔG against the number of fluorine atoms in W68 yielded a
linear free energy relationship (Figure ). A similar relation is obtained when ΔG’s of all five RibU variants are plotted against
the in silico calculated cation−π interaction
energy[4] (Figure S8). The linear free energy relationships support the view that an
electrostatic component of W68 makes a significant contribution to
RBF binding at RibU.
Figure 4
Relationship between the number of fluorine atoms in the
indole
group of W68 in RibU and the released binding energy (ΔG) upon binding of RBF at 20 °C. The bars represent
standard deviations (n = 2–4).
Relationship between the number of fluorine atoms in the
indole
group of W68 in RibU and the released binding energy (ΔG) upon binding of RBF at 20 °C. The bars represent
standard deviations (n = 2–4).
Discussion
The work presented here has yielded a number
of significant advances.
First, we developed an efficient expression system for producing milligram
quantities of proteins labeled with an isosteric Trp analog bearing
one to four fluorine atoms or a methyl group on the indole moiety.
Second, by incorporating various Trp analogs we could quantitate the
electrostatic contribution of π interactions to LmrR–drug
and RibU–riboflavin complex formation.
Expression System for Producing Mg Quantities of Proteins Labeled
with a Fluorinated or Methylated Trp Analog
Biosynthetic
incorporation of Trp analogs using a Trp auxotroph expression system
is a well-established methodology used in many different laboratories.[24−28] While monofluorinated Trp analogs can readily be incorporated in
proteins using an auxotrophic strain,[29] the restricted substrate specificity of tryptophanyl tRNA synthethase
has so far prevented the incorporation of Trp analogs with a higher
degree of fluorination. The same is true for multifluorinated analogs
of Tyr and Phe, when using a Tyr or Phe auxotrophic expression system,
respectively. Multifluorinated Trp analogs are excellent probes for
investigating the role of Trp in noncovalent interactions, like cation−π
or π–π interactions, as demonstrated by the pioneering
work of the Dougherty group using their oocyte expression platform.[3,13,30−32] In this system,
amber suppressor tRNA is chemically acylated with a fluorinated analog
and the adduct is injected in an oocyte cell together with the mRNA
of the target protein, mutated with an in frame amber codon. The attractive
feature of this expression system is the site-specific labeling of
the target protein with an unnatural amino acid, but a major limitation
is the extremely low yield of labeled protein, typically in the order
of picomole quantities.[9] Nevertheless,
the electrophysiological characterization of fluorine-labeled proteins
has been exceptionally successful for several important neurobiological
ligand-gated-ion channels like the serotonergic and nicotinic acetylcholine
receptors.[12]Genetic encoding using
orthogonal tRNA/tRNA synthetase pairs is another approach to site-specifically
incorporate unnatural amino acids into proteins. This was used for
the in vivo incorporation of fluorinated Phe residues
or Phe residues para-labeled with a CH3, CF3, Cl, CN, or NO2 group.[33−36] However, the incorporation of
fluoroPhe analogs showed limited fidelity, resulting from contamination
by the structurally very similar unlabeled amino acid.[36] The para-substituted Phe analogs could only
be incorporated if these quite large substituents do sterically fit
in the protein structure. Thus, there is interest in high yield expression
systems that produce, with high specificity, fluoroTrp labeled proteins.Here, we have reported an L. lactis Trp auxotroph
expression system, which thanks to the coexpression of the L. lactis tryptophanyl-tRNA synthetase is able to produce
milligram amounts of proteins labeled with a fluorinated or methylated
Trp analog. The system can be easily employed in a standard equipped
biochemical laboratory and is not very complicated, as it uses a synthetic
expression medium consisting of maximally 30 components.[37]L. lactis is a fast-growing
organism that can achieve high cell densities under both aerobic and
anaerobic conditions, for which well-regulated promotor expression
systems are available, and in which no inclusion bodies are formed.
It has been used extensively for the functional overexpression of
soluble and membrane-bound proteins originating from different kingdoms.[38] We obtained milligram quantities of pure, labeled
protein, which allowed, for the first time, the crystallization and
structure determination of a set of proteins labeled with mono-, di-,
or trifluoroTrp. It provided detailed insights into the effects of
fluorination on the binding interactions of the indole side chain
(Figures , S5, and S6). By our method, all Trp residues
that are present in a protein are replaced by a Trp analog, thus making
the system most suitable for proteins containing a limited number
of Trp residues. Trp is the least abundant amino acid in proteins,
but compared to the other aromatic residues, its indole π electrons
are most often involved in noncovalent interactions.[8,39,40] This makes our expression system
suitable to investigate these interactions in many different protein
systems. For example, there is increasing interest in the role of
Trp in carbohydrate–protein (CH−π) interactions,
which may play a pivotal role in the specificity and binding affinity
of the interaction.[8,41−43] To date, quantitative
data of this interaction in proteins are not available.[44]
Role of W96 in LmrR–Drug Interaction
3D structures
of LmrR with bound Hoechst33342, Dau, and RBF have provided detailed
insights into how the structurally different ligands are recognized
(Figure S1).[19,20] The drugs
bind with their aromatic group between the side chains of W96 and
W96′ (residue 96 from the other monomer), which are located
face-to-face at ∼7 Å from each other in the center of
the drug-binding site.[19] LmrR binds the
drugs Dau and RBF with an affinity of 450 and 460 nM, respectively
(see Table ), in agreement
with the results of Takeuchi et al., who also used SPR to measure
affinity.[21] Binding of Dau and RBF to LmrR
occurs via π–π stacking interactions, which allows
the binding of a wide diversity of aromatic compounds,[19] but the contribution of the π–π
stacking interactions to the affinity could not be determined. By
labeling LmrR with fluorinated and methylated Trp analogues, we find
that in LmrR the electrostatic component of π–π
interactions has an important contribution to the binding affinity,
as illustrated by Figures and S4. It clearly shows that
the binding energy decreases with an increasing number of electron-withdrawing
fluorine atoms in the Trp side chain. Thus, electrostatic interactions
are important for drug binding by LmrR.
Magnitude of the π–π Stacking Energy When
LmrR Binds Dau or RBF
As can be seen from Figure , the free energy of binding
of the drugs, ΔG, is linearly dependent on
the number of fluorine substituents. Since four fluorine substituents
in a Trp completely remove the negative electrostatic potential on
the face of the aromatic ring,[9,13] the electrostatic contribution
of 4,5,6,7tetraFW to the π–π interactions will
be about zero. Thus, 4,5,6,7tetraFW can serve as a baseline to obtain
the electrostatic contributions of π–π interactions
to the total binding energy. Because of the linear relationship of
binding energy and number of fluorine substituents, and the absence
of significant conformational differences between the analog-labeled
LmrR proteins, a straightforward extrapolation to the situation with
zero fluorine substituents (wild type Trp at position 96) can be made.
Thus, we obtain, as contributions of the π–π interactions
to the total binding energy at 25 °C, values of −4.8 and
−10.5 kJ/mol for Dau and RBF, respectively, which correspond
to 13% and 29% of the total binding energy, respectively. With this
contribution, a 6- and 70-fold enhancement of the binding affinity
was obtained for Dau and RBF, respectively, making π–π
stacking a sizable contribution to the binding of aromatic compounds
by LmrR. However, the importance of the π–π interactions
is different for the two drugs, which is likely related to their electrostatic
potential. For Dau, the electrostatic potential of the aromatic ring
system is neither high nor low[45] limiting
the stacking energy potential. Approximately half of the aromatic
surface of the isoalloxazine ring of RBF shows a positive electrostatic
potential, complementary to the negative electrostatic potential of
Trp, while in the other half the electrostatic potential is close
to neutral.[46] Still, for both compounds,
the contribution of the π–π stacking energy to
the overall binding energy was found to be significant. Our work predicts
that drugs containing an aromatic ring system with a positive electrostatic
potential will bind most strongly to LmrR, as long as the drug can
sterically fit in the binding site without experiencing repulsive
interactions.
Entropy Contribution to the LmrR–Dau Interaction
Data of binding experiments of LmrR and a drug at different temperatures
can potentially inform about the contribution of entropy to ΔG. Data presented in Table indicate that the temperature does not significantly
affect the binding affinity of Dau. All Kd values decrease when the temperature is decreased from 25 to 10
°C (Table ),
but the associated ΔG values remain fairly
constant (Table ).
The slopes of the lines in the fluorination plots (Figure ) are also similar, indicating
that the strength of the π–π interaction is not
strongly temperature dependent. The insensitivity of ΔG to temperature suggests, but does not prove, that the
entropy contribution to ΔG is small. This conclusion
is inconsistent with the results of Takeuchi et al., who concluded
that binding of drugs to LmrR is entropy driven, as an increase in
conformational flexibility was observed upon drug binding. This increase
in flexibility was estimated as 2–6 kJ/mol contributing to
the binding energy, ΔG. Although significant,
this contribution is at the lower range of what we obtained for the
stacking energy contribution to ΔG. Complementary
ITC experiments suggested that the enthalpic contribution to ΔG is small or unfavorable. For example, ITC experiments
with LmrR and Dau showed the absence of an enthalpic energy contribution
to ΔG.[21] However,
the conditions at which the ITC experiments were done led to aggregation
in our experiments (see Supporting Information and Figures S9 and S10), which precludes inferring firm conclusions
on the enthalpic contributions. Taken together, SPR data of the LmrR–Dau
interaction collected at 10 and 25 °C do suggest that the ΔG and the strength of the π–π stacking
interaction are minimally dependent on temperature. This makes it
unlikely that this interaction is essentially entropy driven.
Role of W68 in RibU–RBF Interaction
High resolution
structural information about membrane transport proteins has increased
significantly in the past decade, and as a result solute transport
mechanisms have been elucidated at the molecular level for many different
transport proteins. The dynamics of noncovalent binding interactions
within the protein structure and between protein and substrate form
the basis of the transport cycle, and this dynamical process is energized
by a chemical process like ATP hydrolysis or chemical gradient energy.
A role for noncovalent interactions involving π electrons during
the transport process has been proposed but have not been quantified
or rigorously evaluated to date.[47−49] While many transporters
bind their substrate with low affinity, others show dissociation constants
in the pM–nM concentration range. The class of transporters
with the highest substrate binding affinity belong to the energy-coupling
factor (ECF)-type ATP-binding cassette (ABC) transporters.[50] They are responsible for the uptake of vitamins
and micronutrients, and the low in vivo concentrations
of these substrates explain the need for a transporter with a high
binding affinity. Substrate is bound by an integral membrane subunit,
called the S component. The 3D structures of multiple members of these
transporters have been reported in the absence and presence of substrate.
In the S component substrate complexes, typically all possible H-bonding
sites between ligand and transporter are occupied, as well as all
ionic interactions, rationalizing the extremely high binding affinity.[50] However, aromatic residues are also present
in close contact with the substrate.[50] Their
impact on the binding affinity has been investigated most extensively
for the S component of the riboflavin (RBF) transporter, RibU, from L. lactis, and W68 was found critical for RBF binding.[23] In the present work, the fluorination approach
was applied for W68 and our results show that the affinity of RibU
for RBF drops sharply upon progressive fluorination of W68 (Table ). A good correlation
was obtained when the free energy of RBF binding was plotted against
the number of fluorine atoms in W68 (Figure ) or against the in silico calculated cation−π interaction of the Trp analog (Figure S8). Extrapolation to RibU labeled with
tetrafluoroTrp yields an ∼8 kJ/mol lower ΔG for RBF binding, a value corresponding to 15–20% of total
RBF binding energy of RibU containing natural Trp.The 3D structure
of RibU from L. lactis is not known, but in the structures
of the S component substrate complexes the residue equivalent to Trp68
of RibU is at the end of helix 3 and points toward the substrate binding
pocket.[50−53] More than a dozen residues in the S component of two RibU homologues,
of which structures were solved, are directly involved in substrate
binding.[51,52] The 15–20% of total RBF binding energy
by RibU that we attribute to W68 highlights the importance of this
single residue for generating nanomolar affinity for RBF.
Conclusion
In this work we present a new protein expression
system for progressive
tryptophan fluorination studies. It features an excellent Trp analog
incorporation efficiency and high protein yield, permitting in depth
studies of the role of π interactions for which milligram amounts
of sample are required. This system complements the oocyte expression
system for which an electrophysiological readout is needed to analyze
the labeled proteins. The L. lactis expression system
can be easily employed in a standard equipped biochemical laboratory.
It has the potential to obtain detailed information on the role of
π interactions in many different fields of protein chemistry.
In a first example, we quantified the π–π bonding
interaction between the LmrR protein and two of its ligands, showing
the sizable contribution of the π–π interactions
to the ligand affinity. The availability of experimental quantitative
data on π interactions will not only deepen our fundamental
knowledge about these interactions but also help improve theoretical
approaches to calculate the energy of these interactions. Progress
in protein science relies increasingly on protein structure and protein
activity predicting algorithms. Expanding our knowledge about these
ubiquitous noncovalent interactions in proteins may permit addition
of a sophisticated algorithm to the tool boxes currently in use in
programs of de novo protein design, rational drug
design, and rational biobased-material design.
Authors: Juan A Faraldos; Alicja K Antonczak; Verónica González; Rebecca Fullerton; Eric M Tippmann; Rudolf K Allemann Journal: J Am Chem Soc Date: 2011-08-11 Impact factor: 15.419
Authors: Stefanie A Baril; Amber L Koenig; Mackenzie W Krone; Katherine I Albanese; Cyndi Qixin He; Ga Young Lee; Kendall N Houk; Marcey L Waters; Eric M Brustad Journal: J Am Chem Soc Date: 2017-11-20 Impact factor: 15.419
Authors: Suvrat Chowdhary; Johann Moschner; Dorian J Mikolajczak; Maximilian Becker; Andreas F Thünemann; Claudia Kästner; Damian Klemczak; Anne-Katrin Stegemann; Christoph Böttcher; Pierangelo Metrangolo; Roland R Netz; Beate Koksch Journal: Chembiochem Date: 2020-09-23 Impact factor: 3.164
Authors: Kieran L Hudson; Gail J Bartlett; Roger C Diehl; Jon Agirre; Timothy Gallagher; Laura L Kiessling; Derek N Woolfson Journal: J Am Chem Soc Date: 2015-11-30 Impact factor: 15.419