Literature DB >> 24601599

Tuning the biological activity profile of antibacterial polymers via subunit substitution pattern.

Runhui Liu1, Xinyu Chen, Saswata Chakraborty, Justin J Lemke, Zvi Hayouka, Clara Chow, Rodney A Welch, Bernard Weisblum, Kristyn S Masters, Samuel H Gellman.   

Abstract

Binary nylon-3 copolymers containing cationic and hydrophobic subunits can mimic the biological properties of host-defense peptides, but relationships between composition and activity are not yet well understood for these materials. Hydrophobic subunits in previously studied examples have been limited mostly to cycloalkane-derived structures, with cyclohexyl proving to be particularly promising. The present study evaluates alternative hydrophobic subunits that are isomeric or nearly isomeric with the cyclohexyl example; each has four sp(3) carbons in the side chains. The results show that varying the substitution pattern of the hydrophobic subunit leads to relatively small changes in antibacterial activity but causes significant changes in hemolytic activity. We hypothesize that these differences in biological activity profile arise, at least in part, from variations among the conformational propensities of the hydrophobic subunits. The α,α,β,β-tetramethyl unit is optimal among the subunits we have examined, providing copolymers with potent antibacterial activity and excellent prokaryote vs eukaryote selectivity. Bacteria do not readily develop resistance to the new antibacterial nylon-3 copolymers. These findings suggest that variation in subunit conformational properties could be generally valuable in the development of synthetic polymers for biological applications.

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Year:  2014        PMID: 24601599      PMCID: PMC3985875          DOI: 10.1021/ja500367u

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


Introduction

Eukaryotes deploy a broad range of “host-defense peptides” (HDPs) to discourage infection by prokaryotes.[1−3] Many of these peptides appear to act by compromising the barrier function of bacterial membranes, although the precise mechanism of disruption remains uncertain, as does the relative importance of membrane-directed vs alternative modes of action.[4,5] HDPs are typically rich in both hydrophobic residues and cationic residues,[6−8] and their positive charge is thought to underlie their preference for attacking bacterial membranes relative to eukaryotic membranes. Numerous prokaryote-selective synthetic oligomers, containing α-amino acid residues and/or other types of subunits, have been designed based on principles that are believed to underlie the function of natural HDPs.[9−26] Designed peptides (i.e., oligomers of α-amino acids) and other discrete oligomers are interesting as tools to establish the features essential for a HDP-like biological activity profile, but synthetic difficulties may hamper practical applications of this type of molecule. Rigorous control of subunit sequence typically requires solid-phase synthesis, which is labor-intensive and expensive.[3] This consideration has prompted recent explorations of sequence-random copolymers as functional mimics of HDPs. Diverse backbones have been evaluated, including polystyrene,[27] poly(norbornene),[28] polymethacrylate,[29−31] poly-β-peptide (nylon-3),[32−35] polyacrylamide,[36] polyolefin,[37] polyvinylpyridinium-polymethyacrylate,[38,39] peptido-polysaccharide,[40] polycarbonate,[41,42] and poly(vinyl ether).[43] Most studies have focused on identifying a hydrophobic-cationic balance that supports potent antibacterial activity while limiting toxicity toward mammalian cells, which is typically assessed in terms of red blood cell lysis (“hemolytic activity”).[44] Hydrophobic-cationic balance is generally tuned by varying side chain hydrophobicity (carbon atom number) and/or altering the hydrophobic:cationic side chain proportion. The research described here explores how the biological activity profiles of cationic-hydrophobic copolymers are influenced by changes in the arrangement of side chain carbon atoms within hydrophobic subunits, rather than by changes in the number of side chain carbon atoms, which is related to hydrophobicity. This aspect of molecular design has received little attention in studies of antibacterial polymers, in part because most polymer systems explored to date would not easily support such changes. It is well-known that subtle variations in the structure of α-amino acid residues exert a significant impact on the folding and function of peptides and proteins. For example, the isomers leucine and isoleucine are comparable in terms of hydrophobicity, but they have divergent conformational preferences, favoring α-helical and β-sheet secondary structure, respectively. Glycine is more flexible than all other residues because of the lack of a side chain.[45−47] Many nonribosomal peptide antibiotics contain aminoisobutyric acid (Aib) residues, the gem-dimethyl substitution pattern of which causes a distinctive helix-favoring propensity.[48−50] We propose that the broad range of potencies and selectivities manifested among natural antibacterial peptides reflects evolutionary optimization of both hydrophobic-cationic balance and backbone conformational propensity. Based on this hypothesis, we predict that variation of both properties could lead to antibacterial polymers with improved properties. In many systems, the position at which side chains are traditionally modified is too far from the backbone to affect conformational behavior.[27−31,36,38−40] Nylon-3 polymers, on the other hand, offer considerable latitude for modulation of conformational propensity, because each subunit contains a pair of adjacent sp3 carbon atoms in the backbone, and the substitution pattern at each of these positions can be varied independently. Here we show that evaluation of a small set of related subunits, each containing four side chain sp3 carbons, leads to new nylon-3 copolymers with diverse biological activity profiles; one of the new polymers appears to match the profile that is characteristic of the very best peptides and polymers previously reported. These findings suggest that the ability to alter the subunit substitution pattern may be an important criterion in selecting polymer systems to be developed for specific biological applications.

Results and Discussion

Experimental Design

Our previous exploration of antimicrobial nylon-3 copolymers focused on hydrophobic subunits with cis-cycloalkyl frameworks; hydrophobicity was varied by changes in ring size.[32,33] The cyclohexyl-based subunit derived from β-lactam CHβ proved to be optimal in copolymers prepared with β-lactam MMβ or DMβ, which provide cationic subunits after side chain deprotection (Figure 1). Some copolymers derived from CHβ manifested low hemolytic activity and moderate antibacterial activity, behavior reminiscent of HDPs.[32] The 1:1 DM:CH copolymer displayed the strongest antibacterial activities we observed,[33] with potencies comparable to the best polymers and HDPs reported by others. However, 1:1 DM:CH is hemolytic at low concentrations and therefore inadequate in terms of selectivity.[33] The present study takes 1:1 DM:CH as the starting point for examining the impact of variations in hydrophobic subunit substitution pattern on biological activity.
Figure 1

(a) β-Lactams used in this study, (b) representative copolymer synthesis, (c) nylon-3 copolymers prepared from equimolar binary β-lactam mixtures and containing 50% DM and 50% of a hydrophobic subunit, and (d) PHMB. The DM and CH subunits are racemic. All polymers are heterochiral.

New nylon-3 materials were prepared from 1:1 β-lactam mixtures containing DMβ(51) as the precursor of the cationic subunit and one of three hydrophobic β-lactams: (1) βCPβ (“β-cyclopentyl”), (2) βDEβ (“β-diethyl”), or (3) TMβ (“tetramethyl”) (Figure 1). The nylon-3 subunits CH, βCP, βDE, and TM should be comparable in terms of hydrophobicity because each contains four side chain carbon atoms; however, conformational propensity is expected to vary among these four subunits. The backbone Cα–Cβ bond of CH is constrained by the six-membered ring. Subunits βDE and βCP should be relatively flexible because each contains a CH2 unit in the backbone; this expectation arises because glycine is the most flexible α-amino acid.[45−47]TM, reminiscent of Aib because of the quaternary backbone substitution pattern at Cα and Cβ, should have a distinctive conformational propensity. Recently, we showed that removing the six-membered ring constraint, by preparing copolymers from DMβ + HEβ (Figure 1) rather than DMβ + CHβ, led to a substantial (and unfavorable) increase in hemolytic activity along with a small diminution in antibacterial activity.[52] Based on this observation, one might have predicted that all of the new copolymers would have less desirable activity profiles relative to 1:1 DM:CH, because none of the new hydrophobic subunits has a cyclic constraint on the backbone Cα–Cβ bond. This prediction turned out to be correct for copolymers containing βDE and βCP. We were surprised, however, to discover that polymers containing the TM subunit display superior properties, as explained below. (a) β-Lactams used in this study, (b) representative copolymer synthesis, (c) nylon-3 copolymers prepared from equimolar binary β-lactam mixtures and containing 50% DM and 50% of a hydrophobic subunit, and (d) PHMB. The DM and CH subunits are racemic. All polymers are heterochiral.

Synthesis and Evaluation of New Copolymers

All polymers were prepared via base-catalyzed copolymerization reactions with p-t-butylbenzoyl chloride as co-initiator.[51,53,54] Thus, all polymer chains bear a p-t-butylbenzoyl group at the N-terminus (Figure 1c). Use of 5 mol % co-initiator relative to total β-lactam should generate 20-mer average chain lengths. The resulting materials had polydispersity indices (PDI) ranging from 1.05 to 1.33. Functional comparison of 1:1 DM:CH with the three new copolymers is summarized in Table 1. Consistent with previous data,[33] 1:1 DM:CH is highly active, displaying low minimum inhibitory concentration (MIC) values against a test panel of four bacteria, including laboratory strains of Escherichia coli and Bacillus subtilis and clinical strains of vancomycin-resistant Enterococcus faecium (VREF) and methicillin-resistant Staphylococcus aureus (MRSA). However, 1:1 DM:CH is quite destructive toward red blood cells, as indicated by the relatively low concentration at which 10% hemolysis is observed (HC10).[33] Among the three new nylon-3 copolymers, 1:1 DM:βCP and 1:1 DM:TM are similar to 1:1 DM:CH in their antibacterial activities, while 1:1 DM:βDE is moderately less active. Larger differences, however, are observed in the hemolytic activities. Both copolymers with hydrophobic subunits containing a backbone CH2 group, 1:1 DM:βCP and 1:1 DM:βDE, are strongly hemolytic. In contrast, 1:1 DM:TM is only very weakly hemolytic at high concentrations. Overall, the prokaryote-selective biological activity profile of 1:1 DM:TM is the most favorable among the four copolymers compared here and among all nylon-3 polymers we have examined.[32,33]
Table 1

Antibacterial and Hemolytic Activity of Nylon-3 Copolymers

 MIC,a μg/mL
  
polymerB. subtilisE. coliVREFMRSAHC10,b μg/mLSI (HC10/MICMRSA)c
1:1 DM:CH≤1.66.36.36.3193
1:1 DM:βCP3.16.36.36.3<3.1<0.5
1:1 DM:βDE6.3252525<3.1<0.1
1:1 DM:TM≤1.6133.16.340063
PHMB3.13.13.13.1134
1:1 DM:CH (“skewed”)≤1.6136.36.34.70.7
daptomycin≤1.6>2006.36.3>400>63

MIC, which is the lowest polymer concentration that completely inhibits bacterial growth.

Polymer concentration necessary for 10% lysis of RBC.

Selectivity index (SI) was calculated based on MIC values for MRSA. VREF is vancomycin-resistant E. faecium; MRSA is methicillin-resistant S. aureus; and PHMB is polyhexamethylene biguanide.

MIC, which is the lowest polymer concentration that completely inhibits bacterial growth. Polymer concentration necessary for 10% lysis of RBC. Selectivity index (SI) was calculated based on MIC values for MRSA. VREF is vancomycin-resistant E. faecium; MRSA is methicillin-resistant S. aureus; and PHMB is polyhexamethylene biguanide. These nylon-3 polymers were compared with the commercial antimicrobial polymer polyhexamethylene biguanide (PHMB) and with the clinical antibiotic daptomycin; Figure 1d. As expected, PHMB displays potent antibacterial activity against the four bacteria in our panel (Table 1). However, PHMB is highly hemolytic. Thus, the biological activity profiles of 1:1 DM:CH and PHMB are similar. Daptomycin is a lipopeptide antibiotic that targets bacterial membranes. Therefore, this agent is appropriate for comparison with our nylon-3 polymers, which are believed to act on bacterial membranes. Daptomycin displays potent activity against three Gram positive bacteria but no activity toward E. coli. The nylon-3 copolymer 1:1 DM:TM compares favorably to both PHMB and daptomycin in terms of antibacterial activity and prokaryote vs eukaryote selectivity. The antibacterial activities of the 1:1 DM:CH and 1:1 DM:TM copolymers were further compared via measurement of minimum bactericidal concentrations (MBC) (Table 2). MIC indicates the lowest polymer concentration at which bacterial growth is inhibited in liquid culture, while MBC indicates the lowest concentration at which all bacterial cells have been killed, as demonstrated by a lack of colony formation on solid medium after the polymer-treated liquid culture is applied to an agar surface. The results for VREF show that inhibition of bacterial growth need not correlate with bacterial killing, because for this organism both copolymers display an MBC value that is far higher than the MIC. On the other hand, MBC is only slightly higher than MIC for the other three bacteria (≤4-fold), including MRSA, which indicates that the DM:CH and DM:TM copolymers are both potent bactericidal agents for these species.
Table 2

Bactericidal Activity of Nylon-3 Copolymers

 1:1 DM:CH
1:1 DM:TM
bacteriumMBCaMBC/MICbMBCaMBC/MICb
B. subtilis<3.12<3.12
E. coli132131
VREF>200>3220064
MRSA254132

Minimum bactericidal concentration, μg/mL.

Any polymer with MBC/MIC ratio ≤4 is considered to be bactericidal for that species.[55]

Minimum bactericidal concentration, μg/mL. Any polymer with MBC/MIC ratio ≤4 is considered to be bactericidal for that species.[55]

Subunit Distribution within Polymer Chains

Variations in polymer precursor structure can lead to differences in reactivity. For chain-growth copolymerizations, these differences cause deviations from purely random subunit distribution along the backbone. This factor has typically not been considered in previous comparisons among antibacterial copolymers with variable subunits (e.g., different subunit hydrophobicities).[29,32,33,36−39,43,56] For nylon-3 copolymerizations, differences in β-lactamate and/or chain-end reactivity can cause preferential incorporation of one subunit in the early stages of the reaction, which results in compositional drift along the chains.[57,58] Evaluation of the DMβ + CHβ, DMβ + βDEβ, and DMβ + TMβ copolymerizations revealed significant differences in terms of β-lactam incorporation preference, implying differences in subunit distribution within the resulting polymers (Figure 2). For 1:1 DM:CH, there is a small preference for incorporation of CHβ in the early stages of the reaction, which means that the N-terminal regions of the polymer chains are slightly enriched in CH units, and the C-terminal regions are slightly enriched in DM units. In contrast, for both 1:1 DM:TM and 1:1 DM:βDE there is a strong initial preference for DM incorporation; thus, the N-terminal regions of these polymers are highly enriched in cationic DM units, while the C-terminal regions are highly enriched in hydrophobic TM or βDE units. Copolymerization of DMβ + βCPβ was so rapid that we could not monitor β-lactam consumption as a function of reaction progress.
Figure 2

(a) Consumption of β-lactams as a function of reaction progress for the copolymerization of 1:1 DM:CH (×), 1:1 DM:TM (○), or 1:1 DM:βDE (red ▲). Reactions were conducted at rm temp with an initial concentration of 50 mM for each β-lactam and 5 mM for the co-initiator tBuBzCl (5 mol % relative to the total amount of β-lactam), to prepare copolymers with an average 20-mer length. Measurement of subunit incorporation is described in the Supporting Information. (b) Cartoons of copolymers showing differences in compositional drift along the polymer chains.

(a) Consumption of β-lactams as a function of reaction progress for the copolymerization of 1:1 DM:CH (×), 1:1 DM:TM (○), or 1:1 DM:βDE (red ▲). Reactions were conducted at rm temp with an initial concentration of 50 mM for each β-lactam and 5 mM for the co-initiator tBuBzCl (5 mol % relative to the total amount of β-lactam), to prepare copolymers with an average 20-mer length. Measurement of subunit incorporation is described in the Supporting Information. (b) Cartoons of copolymers showing differences in compositional drift along the polymer chains. The data in Figure 2 indicate that nylon-3 materials generated via DMβ + TMβ or DMβ + βDEβ copolymerizations have very similar subunit distribution biases along the polymer chains. Therefore, the substantial differences in biological activity profile between these two nylon-3 copolymers, with 1:1 DM:TM displaying higher antibacterial potency and lower eukaryotic cell toxicity relative to 1:1 DM:βDE, can be attributed to the different substitution patterns of the isomeric TM and βDE subunits. This result suggests that polymers containing a hydrophobic subunit that is expected to be more flexible (βDE) are more strongly hemolytic than polymers containing isomeric but more conformationally constrained hydrophobic subunits (TM). The data in Figure 2 indicate that one must be cautious in drawing conclusions regarding functional differences between the previously studied copolymer 1:1 DM:CH and the copolymer that displays the most favorable biological activity profile, 1:1 DM:TM. This pair differs not only in hydrophobic subunit identity but also in subunit distribution. We therefore undertook a modified approach to DMβ + CHβ copolymerization in order to generate a “skewed” version of 1:1 DM:CH with a subunit distribution comparable to that of 1:1 DM:TM.[59] The mechanism of anionic β-lactam ring-opening polymerization features a reactive chain-end (C-terminal imide) and thus constitutes a “living” process.[51,53,54] The skewed version of 1:1 DM:CH was prepared by introduction of the β-lactam precursors in four aliquots, each containing 25% of the total β-lactam but with differing β-lactam proportions. The β-lactam proportions in each aliquot were chosen to match the β-lactam proportions incorporated into growing 1:1 DM:TM chains at 25%, 50%, 75%, and 100% total conversion, according to the data in Figure 2. The resulting “skewed” 1:1 DM:CH copolymer displays antibacterial activities very similar to those of 1:1 DM:TM, and this skewed polymer is much more highly hemolytic than is 1:1 DM:TM (Table 1). Since the biological activity profile of the skewed 1:1 DM:CH copolymer is very similar to that of the original 1:1 DM:CH copolymer (prepared by introducing all of each β-lactam to the reaction vessel at the start of the polymerization), and since both DM:CH samples are much more hemolytic than 1:1 DM:TM, we conclude that the superior prokaryote vs eukaryote selectivity of the DM:TM copolymer arises from the intrinsic properties of the hydrophobic TM subunit, relative to CH, rather than from variations in subunit distribution along the polymer chains. The subunit distribution bias within the 1:1 DM:TM copolymer (Figure 2) led us to wonder whether complete segregation of the cationic subunits from the hydrophobic subunits might lead to low hemolytic activity for all pairings of the cationic DM subunit with hydrophobic subunits. To address this question, we prepared DM-CH, DM-βCP, DM-βDE, and DM-TM diblock copolymers using conditions that should provide 20-mer average chain lengths, with a 10-mer average DM block at the N-terminal side and a 10-mer average CH, TM, βDE, or βCP block at the C-terminal side.[59] PDI values for these block copolymers were in the range 1.07–1.27. The antibacterial and hemolytic properties of these diblock nylon-3 copolymers are summarized in Table 3. All four diblock copolymers are generally ineffective at inhibiting bacterial growth, other than for B. subtilis. There are significant differences among the diblock nylon-3 copolymers in terms of hemolytic activity. DM-CH and DM-TM diblock copolymers are only weakly hemolytic, but DM-βDE and DM-βCP are strongly hemolytic. Although these latter two block copolymers are somewhat less effective at inducing hemolysis than the corresponding copolymers generated from 1:1 β-lactam mixtures (Table 3 vs Table 1), the trend among the four block copolymers mirrors that among the mixed copolymers. Specifically, the presence of hydrophobic subunits that are expected to be relatively flexible, because they contain a backbone CH2 unit (βDE and βCP), correlates with high hemolytic activity.
Table 3

Antibacterial and Hemolytic Activities of Diblock Copolymers

 MIC,a μg/mL
  
block copolymerB. subtilisE. coliVREFMRSAHC10,b μg/mLSI (HC10/MICMRSA)c
(DM)10(CH)1013>200>200>200300<1.5
(DM)10(βCP)1013>200>200>20013<0.07
(DM)10(βDE)10>200>200>200>20038<0.2
(DM)10(TM)106.3>200200503006

The lowest polymer concentration that completely inhibits bacterial growth.

Polymer concentration required for 10% lysis of RBC.

Selectivity index (SI) was calculated based on MIC for MRSA. VREF is vancomycin-resistant E. faecium; MRSA is methicillin-resistant S. aureus.

The lowest polymer concentration that completely inhibits bacterial growth. Polymer concentration required for 10% lysis of RBC. Selectivity index (SI) was calculated based on MIC for MRSA. VREF is vancomycin-resistant E. faecium; MRSA is methicillin-resistant S. aureus. Recent studies of hydrophobic-cationic copolymers in the polymethacrylate and poly(vinyl ether) families indicated that block architecture leads to diminished hemolytic activity relative to random subunit distribution,[30,43] and our results are consistent with this trend. However, diblock and “random” subunit distributions were comparable in terms of antibacterial activity in these two previous studies,[30,43] which contrasts sharply with our observations for four different nylon-3 copolymer compositions, all of which display only weak antibacterial activity in the diblock architecture. Thus, our results suggest that there is no general relationship between relative antibacterial potencies and diblock vs uncontrolled subunit distribution within binary hydrophobic-cationic copolymers. The similarity in antibacterial profiles among the two forms of 1:1 DM:CH that contain different extents of compositional bias (normal copolymer vs “skewed” in Table 1) and the dramatic decline in antibacterial activities for the DM-CH diblock copolymer relative to mixed copolymers indicate that some degree of subunit intermixing is necessary to maximize inhibition of bacterial growth. This observation may be related to an elegant recent report on materials generated via ring-opening polymerization of cycloalkenes, which indicated that ≥8–10 Å spacing between cationic groups along this backbone is optimal in terms of antibacterial activity.[37]

Variations in the Proportion of Cationic and Hydrophobic Subunits

To gain a more complete understanding of composition-activity relationships among copolymers prepared from the hydrophobic β-lactams TMβ, βDEβ, and βCPβ, we prepared a series of new binary copolymers via co-reaction of each of these three β-lactams with DMβ (Figure 1). Reaction conditions were selected to favor 20-mer average length. Within each copolymer subset, the cationic:hydrophobic subunit proportion was varied (Figure 3). Each polymer was analyzed for antibacterial activity against four species (MIC), hemolysis (HC10), and 3T3 fibroblast toxicity (IC10, the polymer concentration that causes 10% fibroblast toxicity).
Figure 3

Binary hydrophobic-cationic nylon-3 copolymers containing TM, βDE, or βCP subunits and DM subunits. The DM precursor was racemic, so all copolymers are heterochiral. Polymers within each series have variable subunit proportion; x + y = 100, with x = 40–100.

Figure 4 summarizes the biological activity profiles of the new copolymer series. For both DM:βCP and DM:βDE, high hemolytic activity and significant 3T3 fibroblast toxicity were observed at all compositions, which indicates that nylon-3 copolymers containing the βCP or βDE subunit are generally not selective for prokaryotic vs eukaryotic cells. In contrast, excellent selectivity can be achieved in the DM:TM as long as the subunit proportion is properly controlled.
Figure 4

Summary of biological activity profiles (antibacterial activities, 3T3 fibroblast toxicity, and hemolytic activities) as a function of cationic:hydrophobic subunit proportion for the three sets of binary nylon-3 copolymers shown in Figure 3. The lines drawn for 3T3 fibroblast toxicity and hemolysis merely connect data points. MIC is the minimum inhibitory concentration for bacterial growth; IC10 is the polymer concentration required to induce 10% 3T3 fibroblast death; and HC10 is the polymer concentration required to cause 10% lysis of human red blood cells. When the IC10 or HC10 value is >400 μg/mL, the plot shows a concentration at 400 μg/mL.

Binary hydrophobic-cationic nylon-3 copolymers containing TM, βDE, or βCP subunits and DM subunits. The DM precursor was racemic, so all copolymers are heterochiral. Polymers within each series have variable subunit proportion; x + y = 100, with x = 40–100. Summary of biological activity profiles (antibacterial activities, 3T3 fibroblast toxicity, and hemolytic activities) as a function of cationic:hydrophobic subunit proportion for the three sets of binary nylon-3 copolymers shown in Figure 3. The lines drawn for 3T3 fibroblast toxicity and hemolysis merely connect data points. MIC is the minimum inhibitory concentration for bacterial growth; IC10 is the polymer concentration required to induce 10% 3T3 fibroblast death; and HC10 is the polymer concentration required to cause 10% lysis of human red blood cells. When the IC10 or HC10 value is >400 μg/mL, the plot shows a concentration at 400 μg/mL.

Propensity of Bacteria to Develop Resistance to Nylon-3 Copolymers

It is difficult for bacteria to develop resistance to HDPs,[60] and we wondered whether the same would be true of nylon-3 copolymers. To evaluate this possibility, we challenged E. coli and MRSA with the 1:1 DM:TM copolymer for 10 continuous passages. For each passage, we determined MIC and MBC values for the polymer using a liquid subculture derived from a single colony picked from an agar plate that had been used for the measurement of MBC in the previous passage. This colony was taken from the plate for the polymer concentration one dilution below the MIC measured for the previous passage, to ensure that the bacteria could grow in the presence of a subinhibitory concentration of 1:1 DM:TM.[61] For both E. coli and MRSA, no sign of resistance to 1:1 DM:TM was detected after 10 continuous passages (Figure 5). The variations observed in Figure 5 correspond to a single 2-fold dilution and represent the experimental uncertainty in these measurements. These results suggest that it is difficult for bacteria to develop resistance to an antibacterial nylon-3 polymer, which strengthens the functional analogy between this polymer class and HDPs.
Figure 5

Antibacterial resistance tests for 1:1 DM:TM with E. coli and MRSA. MIC is the minimum inhibitory concentration for bacterial growth; MBC is the minimum bactericidal concentration for 99.9% killing of the bacteria.

Antibacterial resistance tests for 1:1 DM:TM with E. coli and MRSA. MIC is the minimum inhibitory concentration for bacterial growth; MBC is the minimum bactericidal concentration for 99.9% killing of the bacteria.

Further Antibacterial Studies with 1:1 DM:TM

In addition to the four bacteria used in our standard antimicrobial assessment of nylon-3 polymers (Table 1), we evaluated the activity of the best copolymer, 1:1 DM:TM, against other bacterial pathogens (Figure 6). This polymer displayed only weak activity against Salmonella enterica LT2 (MIC = 200 μg/mL), but the polymer was quite active against Bacillus cereus ATCC14579 (MIC = 25 μg/mL), the uropathogenic E. coli CFT073 (MIC = 50 μg/mL), and Pseudomonas aeruginosa PA1066, a strain isolated from a cystic fibrosis patient (MIC = 12.5 μg/mL).
Figure 6

Antibacterial activity of copolymer 1:1 DM:TM against four pathogenic bacteria.

Antibacterial activity of copolymer 1:1 DM:TM against four pathogenic bacteria.

Conclusions

The results reported here show that changes in backbone substitution pattern within the hydrophobic subunit can exert a profound impact on the biological activity profiles of binary cationic-hydrophobic nylon-3 copolymers. Evolution optimizes polypeptide properties via selection among α-amino acid residues that vary in both hydrophobicity and conformational propensity, and our findings suggest that exploring comparable variations among synthetic copolymers is useful for tuning functional properties. Implementation of this approach, however, requires a polymer for which alternative backbone substitution patterns can be readily accessed. Nylon-3 polymers are very convenient in this regard, but many common polymer families are not. In addition to their antibacterial properties, nylon-3 polymers have displayed promising behavior in several other areas of biological application,[34,35,62−65] and the approach described here may prove useful in the context of those applications.

Experimental Methods

NIH 3T3 fibroblast cells were obtained from the American Type Tissue Collection (ATCC, Manassas, VA). Dulbecco’s modified eagle medium (DMEM) and cell culture supplies were obtained from Invitrogen (Carlsbad, CA). CytoTox-ONE assay kits (G7892) were obtained from Promega (Madison, WI). LB medium (244610) was obtained from BD (Franklin Lakes, NJ). Agar (BP1423500) was obtained from Fisher Scientific (Pittsburgh, PA). PHMB (84428-SMP) was obtained from Lonza (Allendale, NJ) as a 20% aqueous solution (“Vantocil IB”). The solution was lyophilized to give PHMB as a white powder, which was used to generate solutions for biological activity studies. All other chemicals were purchased from Sigma-Aldrich and used without purification. 1H and 13C NMR spectra were collected on a Varian MercuryPlus 300 spectrometer at 300 and 75 MHz, respectively, using CDCl3 or D2O as the solvent. 1H NMR chemical shifts were referenced to the resonance for residual protonated solvent (δ 7.26 for CDCl3 and 4.79 for D2O). 13C NMR chemical shifts were referenced to the solvent (δ 77.16 for CDCl3). Mass spectra were acquired using either a Waters (Micromass) LCT mass spectrometer or a Waters (Micromass) AutoSpec mass spectrometer. IR spectra were acquired on a Bruker Tensor 27 instrument with an ATR attachment (Pike Technologies).

Synthesis of β-Lactams

1-Azaspiro[3.4]octan-2-one

The product was synthesized by a modification of reported methods.[66] A solution of methylenecyclopentane (3.9 g, 47.5 mmol) in CH2Cl2 (24 mL) at rt was treated with chlorosulfonyl isocyanate (4.3 mL, 49.9 mmol), and the mixture was stirred at 60 °C for 10 h. The reaction mixture was poured into an ice-cold buffer solution containing sodium sulfite (12 g, 95.1 mmol) and dibasic sodium phosphate (13.5 g, 95.1 mmol). The mixture was stirred at rt overnight and then extracted with CH2Cl2 (3 × 150 mL). The combined organic layers were washed with brine (50 mL), dried over MgSO4, and concentrated. The crude product was purified by silica gel chromatography (1:1 hexane:EtOAc) to give β-lactam βCPβ as a light-yellow viscous oil (1.7 g, 29%). 1H NMR (300 MHz, CDCl3): δ 6.23 (bs, 1H), 2.95 (dd, J = 8.1, 1.5 Hz, 1H), 1.91 (dd, J = 15, 4.5 Hz, 1H), 1.71–1.81 (m, 3H), 1.48–1.55 (m, 1H), 1.46 (bs, 3H), 1.24–1.36 (m, 1H); 13C NMR (75 MHz, CDCl3): δ 170.24, 62.86, 60.35, 35.87, 25.85, 24.20, 23.05; EI-HRMS: m/z calcd for C7H11NO [M]+: 125.0836; found: 125.0832.

4,4-Diethylazetidine-2-one

The product was synthesized by a modification of reported methods.[67] A solution of 2-ethyl-1-butene (10 g, 118.8 mmol) in Et2O (58 mL) at rt was treated with chlorosulfonyl isocyanate (10.4 mL, 118.2 mmol), and the mixture was stirred at rt for 2 h. The reaction mixture was poured into an ice-cold buffer solution containing sodium sulfite (22.5 g, 178.2 mmol) and dibasic sodium phosphate (25.3 g, 178.2 mmol). The mixture was stirred at rt overnight and then extracted with CH2Cl2 (3 × 500 mL). The combined organic layers were washed with brine (100 mL), dried over MgSO4, and concentrated to give β-lactam βDEβ as a colorless oil, which was used without purification (11.8 g, 78%). 1H NMR (300 MHz, CDCl3): δ 6.90 (bs, 1H), 2.51 (d, J = 1.8 Hz, 2H), 1.60 (q, J = 7.5 Hz, 4H), 0.82 (t, J = 7.5 Hz, 6H); 13C NMR (75 MHz, CDCl3): δ 168.49, 57.73, 45.94, 29.46, 8.57; EI-HRMS: m/z calcd for C7H14NO [M + H]+: 128.1070; found: 128.1068.

3,3,4,4-Tetramethylazetidine-2-one

The product was synthesized by a modification of reported methods.[68] A solution of 2,3-dimethylbutene (8.5 g, 101 mmol) in CH2Cl2 (6.5 mL) was cooled in an ice-water bath and treated with chlorosulfonyl isocyanate (8.8 mL, 101 mmol). The mixture was removed from the ice-water bath and heated at 65 °C for 1 day. The reaction mixture was diluted with CH2Cl2 (200 mL) and poured into an ice-cold buffer solution containing sodium sulfite (19.1 g, 151.4 mmol) and dibasic sodium phosphate (21.5 g, 151.4 mmol). This mixture was stirred at rt overnight and then extracted with CH2Cl2 (3 × 250 mL). The combined organic layers were washed with brine (100 mL), dried over MgSO4, and concentrated. The crude product was recrystallized from 1:6 EtOAc:Hex to afford β-lactam TMβ as white needle crystals (10.8 g, 84%), mp 101.2–101.9 °C (ref (68), mp 100–101 °C). 1H NMR (400 MHz, CDCl3): δ 6.68 (bs, 1H), 1.23 (s, 6H), 1.11 (s, 6H); 13C NMR (100 MHz, CDCl3): δ 175.30, 58.04, 54.37, 24.31, 19.01; ESI-HRMS: m/z calcd for C7H13NNaO [M + Na]+: 150.0891; found: 150.0886.

Preparation Nylon-3 Copolymers

Regular or “random” nylon-3 copolymers were prepared in THF or DMF by adding the entire quantity of each β-lactam to the reaction vessel before polymerization was initiated. These copolymers were purified by precipitation from the polymerization solution with pentane and deprotected using neat trifluoroacetic acid (TFA) by following protocols described previously.[33] The reaction setup and polymerization operations were conducted in a glovebox to maintain the moisture level below 5 ppm. The reaction mixture was removed from the glovebox for purification. Polymers at the protected stage (with Boc protection of side chain amine groups) were subjected to gel-permeation chromatography (GPC) characterization using THF as the mobile phase at a flow rate of 1 mL/min at 40 °C, using two Waters columns (Styragel HR 4E, particle size 5 μm) linked in series. The Shimadzu GPC instrument was equipped with a multi-angle light scattering detector (Wyatt miniDAWN, 690 nm, 30 mW) and a refractive index detector (Wyatt Optilab-rEX, 690 nm). Mn, Mw, and PDI were obtained with ASTRA 5.3.4.20 software using a dn/dc value of 0.1 mL/g. DP for a polymer was calculated using the obtained Mn value and the theoretical subunit composition based on the β-lactam proportion used for the polymerization reaction. The “skewed” form of 1:1 DM:CH, intended to mimic the subunit distribution in “random” 1:1 DM:TM, as shown in Figure 2, was prepared in THF by adding the β-lactams in four portions to the reaction solution. The total amount of β-lactams DMβ and CHβ used for this reaction corresponded to a 1:1 (equimolar) mixture, but the β-lactams were divided unequally within each of the four portions. The β-lactam distributions among the four DMβ + CHβ portions were chosen based on the proportions of β-lactams TMβ and DMβ that were incorporated into growing 1:1 DM:TM chains after 25%, 50%, 75%, and 100% polymerization, according to copolymerization kinetics data (Figure 2). Thus, the first β-lactam portion used to prepare the “skewed” 1:1 DM:CH copolymer contained 25% of the total β-lactam precursors in an 83:17 DMβ:CHβ molar ratio. The second portion contained 25% of the total β-lactam precursors in a 73:27 DMβ:CHβ molar ratio. The third portion contained 25% of the total β-lactam precursors, in a 36:64 DMβ:CHβ molar ratio, and the fourth portion contained 25% of the total β-lactam precursors, in an 8:92 DMβ:CHβ molar ratio. Since our studies of DMβ + CHβ copolymerization indicated that these reactions are complete within 5 min (rt), we allowed 20 min after the addition of the first, second, and third β-lactam portions before adding the next β-lactam portion. The “skewed” copolymer of 1:1 DM:CH was characterized at the protected stage and deprotected by following the protocol used for “random” nylon-3 copolymers.

Preparation of Nylon-3 Diblock Copolymers

Nylon-3 diblock copolymers were prepared in DMAc in a glovebox to keep the moisture level below 5 ppm. The β-lactam monomer for the first block in DMAc solution was mixed with a solution of co-initiator (tert-BuBzCl, 0.1 equiv), and a solution of base catalyst (LiHMDS, 0.25 equiv) was added. The reaction mixture was stirred for 2 h at rt, and then a solution of the second β-lactam monomer (1 equiv relative to the first β-lactam) was added. The reaction mixture was stirred for 36 h at rt and then removed from the glovebox. The reaction (total 4 mL) was quenched with a few drops of MeOH, and the protected diblock copolymer was precipitated by adding pentane (45 mL) to the reaction mixture. The precipitated solid was collected from the bottom of the cell culture tube after centrifugation and removal of the solvent by decantation. The crude polymer was dissolved in THF (2 mL) and subjected to additional precipitation/centrifugation operations. After 4–5 cycles of precipitation/centrifugation, the protected polymer was collected and dried under N2 to give a white solid. The diblock copolymer was deprotected by treating with neat TFA (2 mL) for 2 h at rt and precipitated by addition of Et2O (45 mL). The precipitated polymer was collected from the bottom of the culture tube after centrifugation and removal of the solvent by decantation. The collected solid was dissolved in MeOH (1 mL) and subjected to precipitation/centrifugation operations. After a total of three cycles of precipitation/centrifugation, the deprotected diblock copolymer was collected and dried under N2 to give a white solid (TFA salt). The diblock copolymer was characterized at the side-chain protected stage as previously described.[34] A Waters GPC was used for polymer characterization using DMAc (containing 10 μM LiBr) as the mobile phase at a flow rate of 1 mL/min at 80 °C. The GPC was equipped with a single refractive index detector (Waters 2410) and two Waters Styragel HR 4E columns (particle size 5 μm) linked in series. The columns were calibrated with nine PMMA standards with peak average molecular weight (Mp) ranging from 690 to 1 944 000. Number-average molecular weight (Mn), weight-average molecular weight (Mw), and polydispersity index (PDI) were calculated using Empower software and calibration curves obtained from PMMA standards. The degree of polymerization (DP) for a polymer was calculated from the obtained Mn value and the theoretical subunit composition based on the β-lactam proportion used for the polymerization reaction.

Kinetic Studies of Copolymerization

Kinetic studies of copolymerization for 1:1 DM:CH, 1:1 DM:TM, 1:1 DM:βCP and 1:1 DM:βDE were conducted using gas chromatography (GC) to detect unreacted β-lactam starting materials at various time points before each polymerization reaction was complete. The base-catalyzed ring-opening copolymerization reactions were conducted in the same way as preparative copolymerization reactions, but these reaction mixtures for kinetic analysis contained triphenylmethane, which is expected to be inert under the reaction conditions, as an internal standard for GC analysis. At different time points during each copolymerization reaction, an aliquot of the reaction solution was transferred to a separate vial that contained about 10 mg of benzoic acid, which rapidly halts the copolymerization reaction. The quenched reaction samples were analyzed on a Shimadzu GC-17A GC instrument equipped with an RTX-5 or a DB-wax column to obtain the peak areas for unreacted β-lactams and the internal standard. Subsequent calculations were based on β-lactam:internal standard peak area ratios. For each time point, the amount of each β-lactam that remained was determined based on a calibration curve (β-lactam:internal standard peak area ratio plotted as a function of β-lactam:internal standard concentration ratio). The kinetic study revealed that the DMβ + TMβ copolymerization is much slower than copolymerization of the other three β-lactams with DMβ. The DMβ + TMβ copolymerization is only 81% complete after 5 h, and 92% complete after 80 h. Samples of 1:1 DM:TM used for biological evaluation were prepared in reactions that were terminated after 16 h, because longer reaction times can lead to byproduct formation.[53]

Antibacterial Assays

The MIC assay for bacteria was conducted by following a 2-fold broth microdilution protocol previously described.[33] Eight bacteria were tested: E. coli JM 109, B. subtilis BR151, E. faecium A634 (vancomycin-resistant), S. aureus 1206 (methicillin-resistant),[33]Salmonella enterica LT2, Bacillus cereus ATCC14579, the uropathogenic E. coli CFT073, and Pseudomonas aeruginosa PA1066. Briefly, bacteria were cultured overnight at 37 °C on LB agar plates and then suspended in LB medium at 2 × 106 cells/mL. The cell suspension (50 μL) was mixed with the same volume of polymer solutions in 2-fold serial dilutions (from 400 to 3.13 μg/mL) in a 96-well plate, which was incubated for 6 h at 37 °C. Optical density (OD) of each well was measured at 650 nm on a Molecular Devices Emax precision microplate reader. Controls included on the same plate: LB medium only (blank) and cells in LB without polymer (uninhibited growth control). The bacterial cell growth in each well was calculated with the equation (% cell growth = (A650polymer – A650blank)/(A650control – A650blank) × 100) and plotted against polymer concentration. The MIC value is the minimum concentration of a given polymer necessary to inhibit bacterial growth completely. When repeat measurements of MIC, IC10, or HC10 oscillated between two polymer concentrations, the average of these two is reported (e.g., 75 μg/mL is reported when the values were 50 and 100 μg/mL). In the MIC assay for daptomycin, 0.1 M CaCl2 was incorporated for all polymer/bacterial cell mixture at varied polymer concentration. The MBC for a given polymer was obtained after performing the MIC assay described above. Aliquots of 10 μL of bacterial cell suspension from wells containing the polymer at concentrations ranging from one dilution below the MIC to the highest polymer concentration were plated on LB agar. The plates were incubated overnight at 37 °C, and bacterial colonies were then counted. The MBC is the lowest polymer concentration to result in zero bacterial colonies.

Antibacterial Resistance Test

A standard MIC/MBC test of 1:1 DM:TM was conducted with E. coli or MRSA using the protocol mentioned above and beginning with the original strain of bacteria (passage 0). The spread plate used for colony forming unit (CFU) counting in the MBC test was used to subculture bacterial cells for this study. Bacterial colonies were observed on the spread plate that was inoculated with the mixture of bacterial cells and polymer at a concentration one dilution below the MIC, i.e., the polymer concentration is chosen as 3.1 μg/mL if MIC is identified as 6.2 μg/mL. One colony, representing a surviving cell from the previous polymer treatment, was carefully picked from this LB-agar plate and designated as passage 1 cells. The colony of passage 1 cells was transferred to a centrifuge tube containing 3 mL of sterile LB medium and dispersed under vortex mixing for 20 s. This cell suspension was subcultured by inoculating on a LB-agar plate and incubating at 37 °C overnight. The cultured cells at passage 1 on a LB-agar plate were suspended in LB medium and used for the next round of standard MIC/MBC test. This operation was repeated to evaluate the impact of 1:1 DM:TM on E. coli and MRSA for 10 successive passages.

Fibroblast Toxicity Assay

Polymer toxicity was evaluated using NIH 3T3 fibroblasts and the CytoTox-ONE assay kit (Promega), which measures the release of lactate dehydrogenase (LDH) from membrane-damaged cells, as described previously.[34] Briefly, 1.5 × 104 cells in DMEM were seeded in each well of a 96-well plate, which was incubated for 24 h at 37 °C. Medium was exchanged for fresh DMEM (phenol red- and pyruvate-free), and cells were incubated for another 2 h at 37 °C. Cells were treated with nylon-3 polymers at varied concentrations in a 2-fold serial dilution series ranging from 400 to 3.13 μg/mL for 12 h at 37 °C. The cells in each well were then analyzed using the CytoTox-ONE assay kit. On the same plate, wells without polymer and wells treated with lysate solution to cause 100% release of LDH were incorporated as the blank and positive control, respectively. Fluorescence intensity was measured on a Tecan Infinite M1000 microplate reader using ex/em 560/590 nm. Cell death was calculated from (% death = (Fpolymer – Fblank)/(Fcontrol – Fblank) × 100) and plotted against polymer concentration. The IC10 value is the polymer concentration that causes 10% cell death.

Hemolysis Assay

Hemolytic activity was evaluated using human red blood cells (hRBC) following a protocol described previously.[33,34] Briefly, 100 μL of 2% RBC suspension in TRIS-buffered saline (TBS; 10 mM TRIS, 150 mM NaCl, pH 7.2) was treated with an equivalent volume of nylon-3 polymer solution in a 2-fold dilution series in TBS ranging from 800 to 6.25 μg/mL in a 96-well plate for 1 h at 37 °C. On the same plate, hRBC treated with TBS only (without polymer) and hRBC treated with Triton X-100 (3.2 mg/mL in TBS) were incorporated as the blank and positive control, respectively. After centrifugation, supernatant from each well was transferred to a new 96-well plate, and the optical density (OD) in each well was measured using a Molecular Devices Emax precision microplate reader at 405 nm. The hemolysis for each sample was calculated using the equation (% hemolysis = (A405polymer – A405blank)/(A405control – A405blank) × 100) and plotted against polymer concentration. The HC10 value for a given polymer is the polymer concentration necessary to cause 10% lysis of RBCs. In previous studies,[34] we have used the minimum hemolytic concentration (MHC) to assess polymer impact on red blood cells in a way that is comparable with the index of antibacterial activity, MIC. However, we have switched here to HC10 because it can be challenging to measure MHC accurately. Other researchers have used HC50 as a measure of hemolytic activity, but this approach seemed non-ideal because the extent of hemolysis rises slowly as a function of polymer concentration in many cases. For example, HC50 for 1:1 DM:CH is ∼400 μg/mL, and if we focused on HC50 we could conclude that this polymer is highly selective for bacteria relative to eukaryotic cells. In contrast, HC10 for this polymer is 19 μg/mL, which is not much higher than the MIC values.
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Review 1.  Amphipathic, alpha-helical antimicrobial peptides.

Authors:  A Tossi; L Sandri; A Giangaspero
Journal:  Biopolymers       Date:  2000       Impact factor: 2.505

Review 2.  Host-defense antimicrobial peptides: importance of structure for activity.

Authors:  N Sitaram; R Nagaraj
Journal:  Curr Pharm Des       Date:  2002       Impact factor: 3.116

3.  Synergistic activity of hydrophilic modification in antibiotic polymers.

Authors:  Philippe H Sellenet; Bradley Allison; Bruce M Applegate; Jeffrey P Youngblood
Journal:  Biomacromolecules       Date:  2007-01       Impact factor: 6.988

4.  Antibacterial and hemolytic activities of pyridinium polymers as a function of the spatial relationship between the positive charge and the pendant alkyl tail.

Authors:  Varun Sambhy; Blake R Peterson; Ayusman Sen
Journal:  Angew Chem Int Ed Engl       Date:  2008       Impact factor: 15.336

5.  Biophysical mimicry of lung surfactant protein B by random nylon-3 copolymers.

Authors:  Michelle T Dohm; Brendan P Mowery; Ann M Czyzewski; Shannon S Stahl; Samuel H Gellman; Annelise E Barron
Journal:  J Am Chem Soc       Date:  2010-06-16       Impact factor: 15.419

6.  Enhanced protein thermostability by Ala-->Aib replacement.

Authors:  V De Filippis; F De Antoni; M Frigo; P Polverino de Laureto; A Fontana
Journal:  Biochemistry       Date:  1998-02-10       Impact factor: 3.162

7.  Broad-spectrum antimicrobial supramolecular assemblies with distinctive size and shape.

Authors:  Kazuki Fukushima; Jeremy P K Tan; Peter A Korevaar; Yi Yan Yang; Jed Pitera; Alshakim Nelson; Hareem Maune; Daniel J Coady; Jane E Frommer; Amanda C Engler; Yuan Huang; Kaijin Xu; Zhongkang Ji; Yuan Qiao; Weimin Fan; Lanjuan Li; Nikken Wiradharma; E W Meijer; James L Hedrick
Journal:  ACS Nano       Date:  2012-10-01       Impact factor: 15.881

8.  All-D amino acid-containing channel-forming antibiotic peptides.

Authors:  D Wade; A Boman; B Wåhlin; C M Drain; D Andreu; H G Boman; R B Merrifield
Journal:  Proc Natl Acad Sci U S A       Date:  1990-06       Impact factor: 11.205

9.  Peptoids that mimic the structure, function, and mechanism of helical antimicrobial peptides.

Authors:  Nathaniel P Chongsiriwatana; James A Patch; Ann M Czyzewski; Michelle T Dohm; Andrey Ivankin; David Gidalevitz; Ronald N Zuckermann; Annelise E Barron
Journal:  Proc Natl Acad Sci U S A       Date:  2008-02-19       Impact factor: 11.205

10.  Synthetic Enantiopure Carbohydrate Polymers that are Highly Soluble in Water and Noncytotoxic.

Authors:  Eric L Dane; Stacy L Chin; Mark W Grinstaff
Journal:  ACS Macro Lett       Date:  2013-10-15       Impact factor: 6.903

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  30 in total

1.  Hydrophobic interactions modulate antimicrobial peptoid selectivity towards anionic lipid membranes.

Authors:  Konstantin Andreev; Michael W Martynowycz; Mia L Huang; Ivan Kuzmenko; Wei Bu; Kent Kirshenbaum; David Gidalevitz
Journal:  Biochim Biophys Acta Biomembr       Date:  2018-04-03       Impact factor: 3.747

2.  Nylon-3 polymers active against drug-resistant Candida albicans biofilms.

Authors:  Runhui Liu; Xinyu Chen; Shaun P Falk; Kristyn S Masters; Bernard Weisblum; Samuel H Gellman
Journal:  J Am Chem Soc       Date:  2015-02-04       Impact factor: 15.419

3.  Local rigidification and possible coacervation of the Escherichia coli DNA by cationic nylon-3 polymers.

Authors:  Yanyu Zhu; Lei Liu; Mainak Mustafi; Leslie A Rank; Samuel H Gellman; James C Weisshaar
Journal:  Biophys J       Date:  2021-10-30       Impact factor: 4.033

4.  Facial amphiphilicity index correlating chemical structures with antimicrobial efficacy.

Authors:  Leman Buzoglu Kurnaz; Yuanyuan Luo; Xiaoming Yang; Amjed Alabresm; Ryan Leighton; Rani Kumar; JiHyeon Hwang; Alan W Decho; Prakash Nagarkatti; Mitzi Nagarkatti; Chuanbing Tang
Journal:  Bioact Mater       Date:  2022-06-27

5.  Small Antimicrobial Agents Based on Acylated Reduced Amide Scaffold.

Authors:  Peng Teng; Da Huo; Alekhya Nimmagadda; Jianfeng Wu; Fengyu She; Ma Su; Xiaoyang Lin; Jiyu Yan; Annie Cao; Chuanwu Xi; Yong Hu; Jianfeng Cai
Journal:  J Med Chem       Date:  2016-08-25       Impact factor: 7.446

6.  Single-Cell, Time-Resolved Antimicrobial Effects of a Highly Cationic, Random Nylon-3 Copolymer on Live Escherichia coli.

Authors:  Heejun Choi; Saswata Chakraborty; Runhui Liu; Samuel H Gellman; James C Weisshaar
Journal:  ACS Chem Biol       Date:  2015-11-05       Impact factor: 5.100

Review 7.  Polymeric drugs: Advances in the development of pharmacologically active polymers.

Authors:  Jing Li; Fei Yu; Yi Chen; David Oupický
Journal:  J Control Release       Date:  2015-09-26       Impact factor: 9.776

8.  Correlating antimicrobial activity and model membrane leakage induced by nylon-3 polymers and detergents.

Authors:  Sara G Hovakeemian; Runhui Liu; Samuel H Gellman; Heiko Heerklotz
Journal:  Soft Matter       Date:  2015-08-03       Impact factor: 3.679

9.  Cationic Homopolymers Inhibit Spore and Vegetative Cell Growth of Clostridioides difficile.

Authors:  Joshua B Jones; Lei Liu; Leslie A Rank; Daniela Wetzel; Emily C Woods; Naomi Biok; Sarah E Anderson; Myung-Ryul Lee; Runhui Liu; Sean Huth; Brindar K Sandhu; Samuel H Gellman; Shonna M McBride
Journal:  ACS Infect Dis       Date:  2021-03-19       Impact factor: 5.084

10.  Diverse Impacts on Prokaryotic and Eukaryotic Membrane Activities from Hydrophobic Subunit Variation Among Nylon-3 Copolymers.

Authors:  Leslie A Rank; Anurag Agrawal; Lei Liu; Yanyu Zhu; Mainak Mustafi; James C Weisshaar; Samuel H Gellman
Journal:  ACS Chem Biol       Date:  2020-12-11       Impact factor: 5.100

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