Open Access Article
Tahmina A.
Milly
a,
Alec R.
Buttner
b,
Naomi
Rieth
b,
Elizabeth
Hutnick
b,
Emilee R.
Engler
b,
Alexandra R.
Campanella
c,
Muralikrishna
Lella
a,
Michael A.
Bertucci
*c and
Yftah
Tal-Gan
*a
aDepartment of Chemistry, University of Nevada, Reno, 1664 North Virginia Street, Reno, Nevada 89557, USA. E-mail: ytalgan@unr.edu
bDepartment of Chemistry, Moravian University, 1200 Main St., Bethlehem, PA 18018, USA
cDepartment of Chemistry, Lafayette College, 701 Sullivan Rd., Easton, PA 18042, USA. E-mail: bertuccm@lafayette.edu
First published on 28th January 2022
The prompt appearance of multiantibiotic-resistant bacteria necessitates finding alternative treatments that can attenuate bacterial infections while minimizing the rate of antibiotic resistance development. Streptococcus pneumoniae, a notorious human pathogen, is responsible for severe antibiotic-resistant infections. Its pathogenicity is influenced by a cell-density communication system, termed quorum sensing (QS). As a result, controlling QS through the development of peptide-based QS modulators may serve to attenuate pneumococcal infections. Herein, we set out to evaluate the impact of the introduction of bulkier, nonproteogenic side-chain residues on the hydrophobic binding face of CSP1 to optimize receptor-binding interactions in both of the S. pneumoniae specificity groups. Our results indicate that these substitutions optimize the peptide–protein binding interactions, yielding several pneumococcal QS modulators with high potency. Moreover, pharmacological evaluation of lead analogs revealed that the incorporation of nonproteogenic amino acids increased the peptides’ half-life towards enzymatic degradation while remaining nontoxic. Overall, our data convey key considerations for SAR using nonproteogenic amino acids, which provide analogs with better pharmacological properties.
Streptococcus pneumoniae, or pneumococcus, is a Gram-positive bacterium that populates the nasopharyngeal cavity and upper respiratory tract of humans. As an opportunistic pathogen, it is responsible for more than 1 million pneumococcal infections including bacteremia, sepsis, meningitis, and pneumonia in the United States alone.16,17 Moreover, recombinogenic pneumococcus is intrinsically resistant to several antibiotics such as vancomycin, linezolid, quinolones, and beta lactams.18–20 A major contributor to the development of antibiotic resistant strains is the ability of pneumococci to exchange intra- and inter-species genetic material with other neighboring species.13,20–22 Specifically, competent pneumococci have been shown to acquire antimicrobial resistance and virulence genes through transformation from its closely related species, Streptococcus mitis, which provides a significant advantage to pneumococci by enabling rapid evolution of the genome and capsular diversity.13,21,22 Therefore, the costs associated with pneumococcal infections as well as high-speed accumulation of multi-drug resistance by S. pneumoniae necessitates treating this pathogen using alternative approaches. In S. pneumoniae, the acquisition of antibiotic-resistance genes and pathogenicity is directly associated with the activation of the pheromone-responsive competence regulon, a conserved QS circuit (Fig. 1).23 Thus, this QS circuitry can be utilized as an excellent target for the design of anti-virulence drug leads to control pneumococcal infections.
In S. pneumoniae, the competence regulon is triggered by a 17-amino acid AIP termed the competence stimulating peptide (CSP, Fig. 1).5 With the help of a proteolytic ATP binding cassette (ABC) transporter, (ComAB, Fig. 1), the CSP pro-peptide, ComC, is processed and the mature signaling molecule, CSP, is exported out of the cell.5 Upon reaching a threshold concentration, CSP can effectively bind and activate a membrane-bound histidine kinase receptor, ComD, resulting in phosphorylation of the response regulator, ComE.23–25 Phosphorylated ComE then acts as a transcription factor and initiates the transcription of the comAB and comCDE genes, resulting in autoinduction of the QS circuitry. ComE also initiates the transcription of the gene for the effector molecule of the QS circuit, the alternative sigma factor, ComX, which controls different QS-regulated phenotypes.25–27 The majority of S. pneumoniae strains can be divided into two main pherotypes or specificity groups based on the AIP they produce (CSP1 or CSP2, Fig. 1), along with their own specific ComD receptor (ComD1 or ComD2, respectively).28 These two peptide pheromones share approximately 50% sequence similarity, with most of the variation occurring amongst hydrophobic residues in the central region of the pheromone, allowing them to confer high selectivity toward their respective cognate receptors.28–31
The pneumococcal competence regulon communication pathway can be modulated through impediment of the peptide–receptor interaction by using synthetic AIP analogs. To improve the potency and pharmacological properties of CSP-based QS modulators, Yang et al. previously performed a systematic structure–activity relationship (SAR) analysis of the native CSP1 signal.29,30 The results of their studies suggested that an α-helix is the bioactive conformation of CSP1, and that the hydrophobic side of the helix plays a crucial role in the binding of CSP1 to ComD1. Specifically, hydrophobic residues in positions 4, 7, 8, 11 and 12 of the CSP1 sequence form a hydrophobic patch that spans two full helical turns and stabilizes CSP1–ComD1 binding. These results suggest that any structural change affecting this hydrophobic patch will alter the CSP1–receptor binding interaction.30 In a previous study, we incorporated highly conservative point mutations to the hydrophobic side-chain residues in these positions of the CSP1 sequence using both proteogenic and nonproteogenic amino acids.32 Information gained from this work suggested that the side-chain residues do not fully occupy the hydrophobic binding pockets and, thus, the CSP1–ComD1 binding interactions could be further optimized utilizing elongated side-chain residues. We advanced these results by incorporating multiple mutations containing several of the nonproteogenic amino acids in the CSP1 sequence.33 The findings from this study provided several important structural insights, specifically the preference of ComD1 for linear, hydrophobic, nonproteogenic amino acids. Combined, the results obtained from these two studies revealed strong potential for even further optimization of the binding interaction between CSP1 and ComD1. In this work, we focused on assessing the hydrophobic pockets within the ComD1 receptor through the introduction of bulkier and more hydrophobic nonproteogenic amino acids, namely a non-natural Phe-derivative, cyclohexylalanine (Cha), and an extended aliphatic hydrophobic residue, homoleucine (HLeu), in key hydrophobic positions (4, 7, 8, 11, and 12). To this end, we rationally designed and chemically synthesized a library of singly and multiply mutated CSP1 peptides intended to develop novel CSP-based QS modulators with enhanced activities against both pneumococcal ComD receptors. Our analysis revealed several nanomolar- and picomolar-range ComD1 and ComD2 activators containing these two nonproteogenic amino acids, suggesting that size and hydrophobicity, rather than the aromaticity of the amino acid side chains, dictate the stabilization of the binding interaction. Our next goal was to construct potent inhibitory peptides of the S. pneumoniae competence regulon by combining the lead CSP1 analogs with a previously characterized E1A substitution.8 Indeed, through this analysis, we were able to develop several low nanomolar-range ComD1 inhibitors. Moreover, we evaluated the pharmacological properties of lead analogs and observed a significant increase in stability towards enzymatic degradation while maintaining low toxicity. In addition to yielding a series of new QS activators and inhibitors, our results provide valuable information regarding the ComD1 hydrophobic binding pockets and key SAR knowledge of the CSP1 pheromone. This information can be utilized for the rational design of highly potent, pharmacologically stable CSP-based QS modulators with therapeutic potential.
In the context of S. pneumoniae CSP1, our previous investigations of the CSP1–ComD1 binding interaction revealed that positions 4, 7, 8, 11, and 12 in CSP1 have unoccupied space within the receptor binding site.32,33 We aimed to assess the steric limit of the CSP1–ComD1 interaction by utilizing bulkier, hydrophobic nonproteogenic substituents. To this end, aliphatic and aromatic hydrophobic residues (Leu, Ile or Phe) in positions 4, 7, 8, 11, and 12 were substituted with the nonproteogenic amino acids, cyclohexylalanine (Cha) or homoleucine (HLeu) (Fig. 3).
Utilization of Cha substitutions in positions 7, 8 and 11 allowed us to increase the side chain hydrophobic surface area, while minimizing alterations to chain length and polarity. This mutation also removes the aromaticity of the Phe residue, abolishing forces governed by π electrons, such as π–π stacking. In parallel, we employed a series of HLeu substitutions intended to explore the spatial extremes of each position, reaching the upper limit of carbon chain length with a nonproteogenic amino acid substitution. At positions 7, 8, and 11, HLeu substitution similarly provided an opportunity to explore the effects of converting aromatic side chains to aliphatic residues. Overall, by systematically substituting HLeu and Cha at these five positions (4, 7, 8, 11, and 12), we created a library of analogs that explores the effects of interconverting cyclic and aliphatic residue sidechains, while also assessing the effects of size, hydrophobicity, and aromaticity. The analogs were built using standard solid-phase peptide synthesis (SPPS) protocols on Wang resin,35 followed by purification using semi-preparative RP-HPLC to >95% purity and their identity confirmed by mass spectrometry (for full details see the ESI†).
Biological evaluation of the singly substituted CSP1 analogs revealed that substitution of either HLeu or Cha at all but the 11th position resulted in comparable or higher potency against the ComD1 receptor relative to the native CSP1. Each substitution also maintained activity against the ComD2 receptor (see Table 1). The data from single, nonproteogenic substitutions at L4 revealed that increased size and hydrophobicity does not lead to a significant change in activity compared to the native side chain at this position. The EC50 values are comparable between the native CSP1, L4Cha, and L4HLeu against both the ComD1 and ComD2 receptors (about 2-fold reduction and 2-fold increase in potency against ComD1 and ComD2, respectively). Regarding the 12th position, substitution of Cha or HLeu for Ile resulted in two potent ComD1 activators, I12Cha and I12HLeu, exhibiting EC50 values of 3.1 and 5.1 nM, respectively (Table 1). These data support the previous observation that the binding pocket of the 12th residue in the ComD1 receptor is not fully occupied by Ile and thus the CSP1–ComD1 binding interaction can be optimized utilizing bulkier hydrophobic side chain residues at this position.32 Contrary to the ComD1 receptor, these two mutations were not as well tolerated against the ComD2 receptor, resulting in a reduction in potency compared to CSP1 (EC50 values of I12Cha and I12HLeu are >1000 nM and 870 nM, respectively, Table 1). This suggests that the introduction of bulky side chains in the ComD2 binding pocket for this position is not as permissible.
| Peptide name | Peptide Sequence | ComD1 | ComD2 | ||
|---|---|---|---|---|---|
| EC50b (nM) | 95% CIc | EC50b (nM) | 95% CIc | ||
| a See the Experimental details for methods and the ESI for plots of agonism dose response curves. b EC50 values were determined by testing peptides over a range of concentrations. c 95% confidence interval. d Data from ref. 29. | |||||
| CSP1d | EMRLSKFFRDFILQRKK | 10 | 6.3–17 | 530 | 500–560 |
| CSP1-L4Cha | EMR(Cha)SKFFRDFILQRKK | 17 | 12–23 | 590 | 300–1200 |
| CSP1-L4HLeu | EMR(HLeu)SKFFRDFILQRKK | 11 | 7.0–17 | 220 | 130–360 |
| CSP1-F7Cha | EMRLSK(Cha)FRDFILQRKK | 1.5 | 0.95–2.3 | 780 | 550–1100 |
| CSP1-F7HLeu | EMRLSK(HLeu)FRDFILQRKK | 0.82 | 0.77–0.87 | 75 | 35–160 |
| CSP1-F8Cha | EMRLSKF(Cha)RDFILQRKK | 4.8 | 2.7–8.3 | 490 | 230–1100 |
| CSP1-F8HLeu | EMRLSKF(HLeu)RDFILQRKK | 3.3 | 2.0–5.2 | 520 | 390–710 |
| CSP1-F11Cha | EMRLSKFFRD(Cha)ILQRKK | 110 | 67–200 | 210 | 110–420 |
| CSP1-F11HLeu | EMRLSKFFRD(HLeu)ILQRKK | 67 | 32–140 | 540 | 300–980 |
| CSP1-I12Cha | EMRLSKFFRDF(Cha)LQRKK | 3.1 | 2.0–5.0 | >1000 | – |
| CSP1-I12HLeu | EMRLSKFFRDF(HLeu)LQRKK | 5.1 | 5.0–5.3 | 870 | 800–950 |
According to data from previous structural studies of CSP1, the positions bearing Phe (7, 8, and 11) are located on one side of the helix and mostly occupy the hydrophobic binding site within the ComD1 receptor.30 The Phe side chains were assumed to effectively interact with the ComD1 binding pocket through both hydrophobic and aromatic interactions. The results of our singly substituted CSP1 analogs revealed that substitution of Cha or HLeu for Phe at positions 7 and 8 resulted in more potent analogs against ComD1. With the exception of F7Cha, all the resulting analogs at these positions exhibited enhanced or comparable activity against ComD2 compared to CSP1 (Table 1). These results suggest that these sites in the ComD1 binding pocket may be larger than originally thought. Specifically, the activation data of single mutations revealed that the F7HLeu derivative is the most potent ComD1 agonist reported to date and a highly potent ComD2 agonist (>12-fold increase in potency against ComD1, EC50 = 0.82 nM; and >7-fold increase in potency against ComD2, EC50 = 75 nM; Table 1). As observed with F7, the F8 position favors both the Cha and the HLeu substitutions, affording modestly improved ComD1 activators (more than 2-fold increase in potency) and exhibiting similar activity to CSP1 against the ComD2 receptor. This result is consistent with our previous observation, suggesting that the binding pocket for the eighth residue can accommodate elongated hydrophobic side chains.31 On the contrary, an opposite trend was observed for the 11th residue. An 11-fold (F11Cha) and ∼7-fold (F11HLeu) reduction in potency against ComD1 was observed, depicting that this position is either more spatially restricted than the other positions or that the aromaticity of the Phe side-chain residue plays a critical role at this site on the receptor.
| Peptide name | Peptide sequence | ComD1 | ComD2 | ||
|---|---|---|---|---|---|
| EC50b (nM) | 95% CIc | EC50b (nM) | 95% CIc | ||
| a See the Experimental details for methods and the ESI for plots of agonism dose response curves. b EC50 values were determined by testing peptides over a range of concentrations. c 95% confidence interval. d Data from ref. 29. | |||||
| CSP1d | EMRLSKFFRDFILQRKK | 10 | 6.3–17 | 530 | 500–560 |
| CSP1-F7Cha/F8Cha | EMRLSK(Cha)(Cha)RDFILQRKK | 2.2 | 1.4–3.5 | 590 | 330–1000 |
| CSP1-F7Cha/F8HLeu | EMRLSK(Cha)(HLeu)RDFILQRKK | 2.5 | 1.5–4.4 | 550 | 280–1100 |
| CSP1-F7HLeu/F8Cha | EMRLSK(HLeu)(Cha)RDFILQRKK | 4.8 | 2.9–8.1 | 340 | 190–640 |
| CSP1-F7HLeu/F8HLeu | EMRLSK(HLeu)(HLeu)RDFILQRKK | 7.2 | 3.4–15 | 710 | 530–940 |
| CSP1-F7Cha/I12Cha | EMRLSK(Cha)FRDF(Cha)LQRKK | 0.97 | 0.44–2.2 | 70 | 41–120 |
| CSP1-F7Cha/I12HLeu | EMRLSK(Cha)FRDF(HLeu)LQRKK | 3.0 | 1.4–6.4 | 140 | 68–300 |
| CSP1-F7HLeu/I12Cha | EMRLSK(HLeu)FRDF(Cha)LQRKK | 3.4 | 2.1–5.4 | 320 | 190–540 |
| CSP1-F7HLeu/I12HLeu | EMRLSK(HLeu)FRDF(HLeu)LQRKK | 1.2 | 0.80–1.8 | 350 | 180–680 |
| CSP1-F8Cha/I12Cha | EMRLSKF(Cha)RDF(Cha)LQRKK | 8.4 | 7.9–9.0 | 840 | 730–980 |
| CSP1-F8Cha/I12HLeu | EMRLSKF(Cha)RDF(HLeu)LQRKK | 5.4 | 3.7–7.8 | 380 | 250–600 |
| CSP1-F8HLeu/I12Cha | EMRLSKF(HLeu)RDF(Cha)LQRKK | 10 | 5.2–21 | 680 | 560–840 |
| CSP1-F8HLeu/I12HLeu | EMRLSKF(HLeu)RDF(HLeu)LQRKK | 3.3 | 2.7–4.0 | 400 | 230–720 |
| Peptide name | Peptide sequence | ComD1 | |
|---|---|---|---|
| IC50 (nM)b | 95% CIc | ||
| a See the Experimental details for methods and the ESI for plots of antagonism dose response curves. b IC50 values were determined by testing peptides over a range of concentrations. c 95% confidence interval. d Data from ref. 29. | |||
| CSP1-E1Ad | AMRLSKFFRDFILQRKK | 86 | 51–150 |
| CSP1-E1A/F7Cha | AMRLSK(Cha)FRDFILQRKK | 36 | 16–79 |
| CSP1-E1A/F7HLeu | AMRLSK(HLeu)FRDFILQRKK | 72 | 42–120 |
| CSP1-E1A/F8Cha | AMRLSKF(Cha)RDFILQRKK | 210 | 95–470 |
| CSP1-E1A/F8HLeu | AMRLSKF(HLeu)RDFILQRKK | 340 | 200–580 |
| CSP1-E1A/I12Cha | AMRLSKFFRDF(Cha)LQRKK | 590 | 380–910 |
| CSP1-E1A/I12HLeu | AMRLSKFFRDF(HLeu)LQRKK | 41 | 29–56 |
| CSP1-E1A/F7Cha/I12Cha | AMRLSK(Cha)FRDF(Cha)LQRKK | 72 | 39–140 |
| CSP1-E1A/F7Cha/I12HLeu | AMRLSK(Cha)FRDF(HLeu)LQRKK | 57 | 46–72 |
Comparing the bioactivities of the resulting single-substitution inhibitors reveals that there is no correlation between EC50 and IC50 values. However, several novel ComD1 inhibitors with low nanomolar potency were discovered. E1A/F7Cha (IC50 = 36 nM), E1A/I12HLeu (IC50 = 41 nM), and E1A/F7HLeu (IC50 = 72 nM) displayed higher inhibitory potency against the ComD1 receptor compared to the E1A substitution alone (IC50 = 86 nM). The remaining single-substituted analogs displayed inhibitory activity but were less potent (IC50 > 86 nM) (Table 3). Although single substitution of HLeu or Cha at the 12th position yielded two potent ComD1 activators (Table 1), only the I12HLeu combined with the E1A modification generated a more potent ComD1 inhibitor. Conversely, the I12Cha substitution combined with the E1A substitution yielded a ComD1 inhibitor with ∼7-fold reduced activity, exhibiting the sensitivity of the 12th position for ComD1 inhibition. This sensitivity is further underscored by data garnered after introducing the E1A substitution into our doubly mutated activators, F7Cha/I12Cha and F7Cha/I12HLeu. E1A/F7Cha/I12Cha displayed an 8-fold increase in potency relative to E1A/I12Cha, but was only half as potent as E1A/F7Cha. Similarly, E1A/F7Cha/I12HLeu was a less potent inhibitor than its doubly substituted precursors, E1A/F7Cha and E1A/I12HLeu. Thus, select substitutions of a single bulky, nonproteogenic amino acid in combination with the E1A modification proved to be more effective in harnessing inhibitory activity than combining multiple substitutions.
We next set out to evaluate the toxicity of CSP1 and the lead analogs towards mammalian cells. To this end, we performed a hemolysis assay of red blood cells (RBCs). Our results indicate that all three peptides are nontoxic, resulting in only minimal hemolysis, similar to the negative control, DMSO (Fig. 5). Overall, our results highlight the potential of introducing non-proteogenic amino acids to the CSP1 scaffold as a means to improve the pharmacological properties of the peptide without eliciting toxicity.
![]() | ||
| Fig. 5 Hemolytic activity of CSP-derived QS modulators on defibrinated RBCs. The CSP analogs exhibit no toxicity against RBCs. | ||
Our rationally designed CSP1-based point and multiple mutant analogs yielded some of the most potent agonists of pneumococcal QS to date. The improved binding resulting from Cha and HLeu substitutions at positions 7, 8, and 12 indicates that there is unoccupied space in the ComD1 hydrophobic binding pocket that can be optimized. The success of some of our poly-substituted mutants demonstrate that optimized residues can be combined to further occupy this space. For example, F7Cha by itself had an EC50 value of 1.5 nM but, when combined with the I12Cha substitution, the EC50 value was reduced to 0.97 nM.
To test for pan-group activity, our CSP1 derivatives were screened against ComD2. In general, the derivatives were much less potent against ComD2. Importantly, the two most potent pan-group activators found in our study are F7HLeu and F7Cha/I12Cha, both with EC50 values below 1 nM against ComD1 and EC50 values around 70 nM against ComD2. Even after accounting for 95% CI overlap, these two substituted analogs exhibited more than 7 to 12-fold increase in potency against both ComD receptors. However, there does not seem to be a strong correlation between the ComD1 and ComD2 activation data. For example, F8HLeu is a stronger ComD1 activator than F11Cha, yet F11Cha is a stronger ComD2 activator than F8HLeu. It is important to note that F7Cha and I12Cha by themselves were ineffective as ComD2 activators but in combination make the best ComD2 activator identified in this study. Previously, it was determined that CSP1 and CSP2 form two distinctive hydrophobic patches that are optimal for ComD1 and ComD2 binding, respectively, and that a hybrid hydrophobic patch can be achieved by a single peptide.10 Therefore, it could be that the combined substitution of Cha at F7 and I12 result in a peptide that exhibits such a hybrid hydrophobic patch and binds both receptors effectively.
All of the single and double mutants that were resynthesized with the E1A substitution displayed some degree of inhibitory activity against ComD1. E1A/F7Cha and E1A/I12HLeu proved to be the most successful combinations, displaying IC50 values 2–3 times more potent than E1A alone. Our analysis revealed that some of the peptides that showcased agonistic activity were less effective as inhibitors. For instance, E1A/I12HLeu made a better inhibitor than E1A/I12Cha and E1A/F7HLeu, even though it was less potent than both as an activator. The lack of ComD2 inhibition activity for all the E1A-based analogs further supports the previous observation completed by our lab highlighting the strict requirements for pan-group activation and inhibition, as opposed to the simple E1A modification that was found to be sufficient in converting ComD1 or ComD2 activators into competitive inhibitors.
Finally, pharmacological evaluation of the lead analogs, CSP1-F7Cha/I12Cha (lead activator) and CSP1-E1A/F7Cha (lead inhibitor), revealed that the incorporation of the Cha residues resulted in analogs that exhibit superior metabolic stability while remaining nontoxic against mammalian cells.
In conclusion, our systematic study of the hydrophobic binding surface of CSP1 revealed that larger, nonproteogenic amino acids produced improved binding relative to the proteogenic amino acids present in the native sequence. We highlighted the importance of pushing the steric limit in peptide-protein SAR and discovered the most potent ComD1 agonist and several potent S. pneumoniae QS inhibitors as a result.
Reversed-phase high-performance liquid chromatography (RP-HPLC) was performed using two Shimadzu systems each equipped with a CBM-20A communications bus module, two LC-20AT pumps, an SIL-20A auto sampler, an SPD-20A UV/VIS detector, a CTO-20A column oven, one with an FRC-10A fraction collector and one without. All RP-HPLC solvents (18 MΩ water and HPLC-grade acetonitrile (ACN)) contained 0.1% trifluoroacetic acid (TFA). Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) data were obtained on either a Bruker Autoflex or Bruker Microflex spectrometer equipped with a 60 Hz nitrogen laser and a reflectron. In positive ion mode, the acceleration voltage on Ion Source 1 was 19.01 kV. Exact mass (EM) data were obtained on an Agilent Technologies 6230 TOF LC/MS spectrometer. The samples were sprayed with a capillary voltage of 3500 V and the electrospray ionization (ESI) source parameters were as follows: gas temperature of 325 °C at a drying gas flow rate of 8 L min−1 at a pressure of 35 psi.
:
3
:
3 ratio of DIC:Oxyma:AA in DMF for a final DIC concentration of 0.2 M. Each coupling was run at 75 °C for 8 min (50 W).
:
1, 45 mL, −20 °C) was added to the tube, and the tube was kept in a freezer at −20 °C for 10 min in order to precipitate the crude peptide. The pellet of the crude peptide was obtained by centrifugation of the 50 mL tube in a Beckman Coulter Allegra 6 centrifuge equipped with a GH3.8 rotor at 3000 RPM for 5 min. The supernatant was poured off and the solid peptide product was re-dissolved in 10 mL acetonitrile (ACN)
:
water (1
:
1) and lyophilized for a minimum of 24 h before HPLC purification.
:
H2O (1
:
4; volume of ACN in water depends on the solubility of the peptide) and purified in 4 mL portions on either a Phenomenex Luna 5 μm C18 semi-preparative column (10 mm × 150 mm, 100 Å) or a Phenomenex Kinetex 5 μm C18 semi-preparative column (10 mm × 250 mm, 110 Å) with a flow rate of 5 mL min−1; mobile phase A = 18 MΩ water + 0.1% TFA and mobile phase B = ACN + 0.1% TFA. The collected fraction was lyophilized overnight and dissolved again in 5 mL ACN
:
H2O (1
:
4) for a secondary purification run. Preparative HPLC methods were used for the crude purification using a linear gradient (first prep 5% B → 45% B over 40 min and second prep 25% B → 38% B over 45 min). Fraction purity was determined through analysis on either a Phenomenex Luna 5 μm analytical C18 column (4.6 mm × 150 mm, 100 Å) or a Phenomenex Kinetex 5 μm analytical C18 column (4.6 mm × 250 mm, 110 Å) using a linear gradient (5% B → 95% B over 22 min or 27 min, respectively). Purities were determined by integration of peaks with UV detection at 220 nm. Only peptide fractions that were purified to homogeneity (>95%) were used for the biological assays. Following purification, peptides were frozen using a dry ice–acetone bath, and then lyophilized for a minimum of 24 h. Before the final masses and yields of purified peptides were determined, peptides were dissolved in 25% acetic acid in up to 1
:
1 ACN
:
water to allow removal of any residual TFA. The solution was then frozen and lyophilized for at least 24 h before the yield of the peptide was determined.
:
1 H2O
:
ACN as a matrix and 1 μL of the desired peptide fraction. For the final verification of the peptides, a high resolution ESI-TOF MS (Tables S1 and S2, ESI†) was used to verify the exact masses of the peptides. The observed mass-to-charge (m/z) ratio of the peptide was compared to the expected m/z ratio for each peptide.
:
50 for D39pcomX::lacZ; 1
:
10 for TIGR4pcomX::lacZ) with THY and the resulting solution was incubated in a CO2 incubator for 3–4 h, until the bacteria reached early exponential stage (OD600 values of 0.30–0.35 for D39pcomX::lacZ and 0.20–0.25 for TIGR4pcomX::lacZ) as determined by using a plate reader.
:
2, 1
:
3, or 1
:
5) and assayed as described above. The EC50 (the concentration of a drug that gives half maximal response) value was then determined through fitting using nonlinear regression with GraphPad Prism 5.
Footnote |
| † Electronic supplementary information (ESI) available: HPLC traces and MS data, initial screening results, dose response curves for CSP1 analogs, and additional metabolic stability figures. See DOI: 10.1039/d1cb00224d |
| This journal is © The Royal Society of Chemistry 2022 |