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. Author manuscript; available in PMC: 2014 Aug 15.
Published in final edited form as: J Am Chem Soc. 2013 Aug 5;135(32):10.1021/ja406231b. doi: 10.1021/ja406231b

Interplay Among Subunit Identity, Subunit Proportion, Chain Length and Stereochemistry in the Activity Profile of Sequence-Random Peptide Mixtures

Zvi Hayouka a, Saswata Chakraborty a, Runhui Liu a, Melissa D Boersma c, Bernard Weisblum b, Samuel H Gellman a,*
PMCID: PMC3856984  NIHMSID: NIHMS512705  PMID: 23909610

Abstract

Fmoc-based solid-phase synthesis methodology was used to prepare peptide mixtures containing one type of hydrophobic residue and one type of cationic residue. Each mixture was random in terms of sequence, but highly controlled in terms of length. Analysis of the antibacterial and hemolytic properties of these mixtures revealed that selective antibacterial activity can be achieved with heterochiral binary mixtures but not homochiral binary mixtures, if the proper amino acid residues are used.


Host-defense peptides (HDPs) are produced by eukaryotes as part of the innate immune response to bacterial infection.1-5 The mode of HDP action varies among different examples, and a particular HDP may have more than one antibacterial mechanism; however, many HDPs share the ability to disrupt bacterial membranes.2,6-12 HDPs display a characteristic selectivity, favoring attack on prokaryotic membranes relative to eukaryotic membranes.3,5 This selectivity is thought to arise from the net cationic charge common to HDPs, since the external surfaces of prokaryotic cells typically have a larger net negative charge than do the external surfaces of eukaryotic cells.13 HDPs are rich in hydrophobic residues, which presumably mediate disruptive interactions with the hydrophobic interior of a lipid bilayer.5,14

The broad molecular diversity among HDPs suggests that their prokaryotic-selective activity is not tightly coupled to specific features of amino acid sequence or peptide conformation.6,14 This situation has inspired recent evaluation of several families of sequence-random hydrophobic-cationic co-polymers, materials that contain mixtures of chains with many distinct subunit sequences and lengths. A number of unnatural backbones, including polystyrene15, polymethacrylate16,17,18, nylon-314,19,20 and polyolefins21-23, have been reported to display antibacterial behavior with varying levels of hemolytic activity. The only evaluation of sequence-random poly-α-amino acid materials for this purpose, however, identified antibacterial polymers that were strongly hemolytic24 or displayed low antimicrobial activity.25 Most of the unnatural polymers examined to date have contained stereogenic centers and been generated in stereochemically random forms. In contrast, poly-α-peptide mixtures are readily prepared in homochiral form.24

The ability of a heterogeneous set of polymer chains to mimic the activity profile of a homogeneous peptide (one sequence, one chain-length, one stereochemistry) is interesting in practical terms because chemical synthesis of sequence-specific oligomers is more difficult and expensive than is co-polymerization. Thus, antibacterial random co-polymers may be more readily applicable to some real-world problems than are homogeneous peptide agents. The prospect of optimizing co-polymer properties would be enhanced if one could gain a clearer understanding of relationships between activity and molecular parameters, including chain length and the identity, proportion and stereochemistry of subunits. Achieving this goal with polymerized materials themselves, however, can be challenging because there is so much variation within a sample generated via co-polymerization of a binary monomer combination.

Here we describe a strategy intended to fill the gap between a highly diverse co-polymer mixture and a homogeneous peptide by using solid-phase synthesis to generate peptide oligomer mixtures with more limited diversity than can be achieved via a random copolymerization process. At each coupling step we use a combination of protected α-amino acids. This approach leads to a product mixture in which the subunit sequence is random but the length is much more effectively controlled than is possible for a mixture of chains produced via a true polymerization process. Subunit stereochemistry is easily controlled because the configuration of an α-amino acid residue is set before incorporation into the backbone. In contrast, stereogenic centers in many co-polymers explored for antibacterial activity, such as polystyrenes, polymethacrylates and polyolefins,14-23 are created during the polymerization process, with little or no control. Our unconventional use of solid-phase synthesis facilitates an examination of the ways in which subunit identity, subunit proportio, chain length and stereochemistry influence the antibacterial and hemolytic activities of peptide mixtures. Ultimately, such information may be useful in tailoring authentic co-polymerization processes to generate heterogeneous materials with improved properties.

We began by surveying six binary cationic-hydrophobic residue combinations based on L-α-amino acids commonly found in host defense peptides (Table 1).26,27 The hydrophobic residue in each mixture was selected from Leu, Ile and Phe, and the cationic residue was selected from Lys and Arg. A mixture of 20-mers was prepared for each pairing by conducting 20 successive coupling steps with a 1:1 molar combination of the two protected α-amino acids (e.g., Fmoc(ε-Boc)-L-Lys + Fmoc-L-Phe)(Figure 1). As is standard in solid-phase synthesis, we used an excess of protected α-amino acid reagents at each coupling step to promote extension of all resin-bound chains (four-fold molar excess of amino acids relative to reactive sites on the solid phase synthesis resin; for the 1:1 combination, this means two-fold molar excess of Fmoc(ε-Boc)-L-Lys and two-fold molar excess of Fmoc-L-Phe at each coupling step).

Table 1.

Antimicrobial activities for peptide mixtures with l residue configuration

20-mer
Peptide
Mixture
Hydrophobic:
Cationic residue
ratiob
MIC μg/mL a
E.c B.s S.a E.f
LK 52:48 6 3 12 6
IK 54:46 >200 3 >200 100
FK 59:41 12 3 12 6
LR 62:38 >200 25 50 100
IR 69:31 >200 100 >200 >200
FR 70:30 >200 50 >200 50
Magainin 2 100 >200 >200 >200
a

MIC results for E.coli (E.c), B. subtilis (B.s), S. aureus (S.a) and E. faecium (E.f)

b

Residue proportion in the peptide mixture, according to the amino acid analysis. The uncertainty is 3-4 % in each value. All amino acid residues have l absolute configuration.

Figure 1.

Figure 1

Synthesis of sequence-random peptide mixtures used for this research where (a) is coupling of a binary combination of Fmoc-protected amino acids that have hydrophobic (filled sphere) or cationic (open sphere) side chains (after deprotection, in the latter case) and (b) is Fmoc deprotection. Standard Fmoc-based solid-phase synthesis methods were employed, but a mixture of protected amino acids was used for each coupling step, rather than a single protected amino acid. The results of three coupling steps are illustrated. In this process, each bead of the solid support will bear many growing chains with many different sequences. The mixture contains 4n peptide sequences if the amino acids are racemic.

The activated forms of different protected α-amino acids may not have identical reactivities; therefore, amino acid analysis was conducted for the six binary α-peptide mixtures. In control experiments, we found that the deduced proportion could vary between independent analyses of a given sample by 3-4% in subunit proportion, and we observed a comparable level of variation between nominally identical mixtures synthesized at different times (Figure S1). Table 1 shows that the amino acid proportions of some binary mixtures deviated significantly from the 1:1 proportion of the starting materials. In general, pairings that contained L-Lys as the cationic subunit displayed proportions close to 1:1, while pairings that contained L-Arg tended toward a 2:1 proportion favoring the hydrophobic subunit.

Antibacterial activities of the six binary α-peptide mixtures were assessed by measuring minimum inhibitory concentration (MIC) values for a panel of four bacteria, including laboratory strains of Escherichia coli28 and Bacillus subtilis29 and clinical strains of Staphylococcus aureus (methicillin-resistant)30 and Enterococcus faecium (vancomycin-resistant)31 (Figure S2 and Table 1). Mixtures containing l-Arg as the cationic component showed lower activity relative to mixtures containing l-Lys. This trend may arise from the generally lower proportion of cationic residues in the L-Arg mixtures relative to the L-Lys mixtures (Table 1); however, exploration of different proportions for the Leu-Lys and Phe-Lys pairs (discussed below) suggested that variation in this parameter has only a modest impact on MIC (Figure S2). Therefore, we suspect that l-Arg is less effective than l-Lys as a cationic subunit in terms of antibacterial activity. Among the three mixtures containing L-Lys, the identity of the hydrophobic residue played an important role: the l-Ile+l-Lys mixture was much less active toward three of the four bacteria than were the l-Leu+l-Lys and l-Phe+l-Lys mixtures (Table 1 and Figure S2).

Subsequent experiments focused on l-Leu+l-Lys and l-Phe+l-Lys mixtures because they displayed the most potent antibacterial properties. In each series, the 20-mer mixture was compared with 10-mer, 15-mer, 25-mer and 30-mer mixtures. For l-Leu+l-Lys, the 10-mer mixture showed significantly higher MIC values (lower activity) for all four bacteria, but the other lengths were generally similar to the 20-mer mixture. For l-Phe+l-Lys, modest declines in MIC were observed relative to the 20-mer mixture for both shorter and longer mixtures (Figures S3 and S4). Variation in subunit proportion was evaluated in each series at the 20-mer length: mixtures were prepared with 7:3, 3:7 and 1:9 combinations of Fmoc-L-Leu + Fmoc(ε-Boc)-L-Lys, or Fmoc-L-Phe + Fmoc(ε-Boc)-L-Lys, for comparisons with the mixtures prepared with 1:1 combinations (Figures S5 and S6). In both series, a tendency toward modestly higher MIC values (weaker activities) was observed for the 7:3 and 3:7 combinations relative to 1:1; this tendency was somewhat more pronounced in the l-Phe+l-Lys series. Both 1:9 mixtures showed very weak antibacterial activity. Overall, these comparisons indicate that the optimal antibacterial activity is observed for the mixtures generated from 1:1 starting material combinations at the 20-mer length.

The 1:1 20-mer mixtures generated from L-Lys with either L-Leu or L-Phe proved to be highly hemolytic, as judged by the minimum hemolytic concentration (MHC; < 3 μg/mL in each case) or the concentration required for 50% hemolysis (HC50; 6 μg/mL or 25 μg/mL, respectively). Hemolytic activity was strongly diminished for the 10-mer mixtures in each series (MHC = 50 μg/mL for l-Leu+l-Lys and 6 μg/mL for l-Phe+l-Lys; HC50 > 400 μg/mL in both cases). However, as noted above, antibacterial activities were somewhat lower for this chain length. Hemolytic activity was strongly diminished also for mixtures in which the subunit proportion favored L-Lys over the hydrophobic subunit, but in these cases there was an even sharper decline in antimicrobial activity than was observed for the 10-mer 1:1 mixtures.

The results obtained with combinations of cationic and hydrophobic L-amino acids suggest that it is difficult to identify homochiral binary peptide mixtures that feature both potent antibacterial activities and low hemolytic activity by controlling chain length, subunit identity or subunit proportion. We turned next to an evaluation of stereochemical variations, based on the subunit identity, subunit proportion and chain-length parameters that seemed most effective in the L-amino acid studies. Thus, the stereochemical studies involved mixtures containing 20-mers generated with a 1:1 combination of amino acids, either Leu+Lys or Phe+Lys. We compared the homochiral mixtures generated from L-amino acids (designated LLLK or LFLK in Table 2) with the mixtures generated from D-amino acids (DLDK or DFDK) as well as the heterochiral mixtures generated from L-Lys and either D-Leu or D-Phe (DLLK or DFLK), and the heterochiral mixtures generated from D-Lys and either L-Leu or L-Phe (LLDK or LFDK). Two additional types of stereochemical variant were examined, one synthesized with a 1:1 combination of racemic amino acids (RacLRacK or RacFRacK) and the other prepared by combining equal-weight samples of the homochiral mixtures, to generate materials designated LLLK+DLDK or LFLK+DFDK.

Table 2.

Antimicrobial activities for peptide mixtures with varying stereochemistry

20-mer
Peptide
Mixture
Res.
ratiob
MIC μg/mLa MHC/
HC50
μg/mL
E.c B.s S. a E.f
LLLK 52:48 6 3 12 6 <3/6
DLLK 57:43 12 3 6 12 6/50
LLDK 59:41 12 3 6 12 <3/6
DLDK 56:44 6 3 6 3 <3/<3
RacLRacK 59:41 12 3 12 25 12/100
LLLK+
DLDK
12 6 12 6 <3/<3
LFLK 59:41 12 3 12 6 <3/25
DFLK 54:46 12 6 25 12 50/>400
LFDK 61:39 25 6 25 12 200/>400
DFDK 63:37 12 6 25 12 <3/6
RacFRacK 54:46 25 25 25 25 12/200
LFLK
+DFDk
12 6 12 12 <3/>400
a

MIC results for E. coli (E.c), B. subtilis (B.s), S. aureus (S.a) and E. faecium (E.f)

b

hydrophobic:cationic residue proportion in the peptide mixture, according to amino acid analysis. The uncertainty is 3-4 % in each value.

The biological evaluations in the stereochemical series showed that this dimension of structural variation exerts little impact on antibacterial activities (Figures S7 and S8 and Table 2). Greater variation was observed, however, in terns of hemolytic activity (Figure 2). In both the Leu+Lys and Phe+Lys series, some stereochemical mixtures displayed significantly lower hemolytic activity relative to the homochiral 20-mer mixtures. The most promising stereochemical profile varied with the identity of the hydrophobic residue. All of the Leu+Lys mixtures were fairly strong inducers of hemolysis, but the RacLRacK mixture was significantly less hemolytic than other members of this series (Figure 2A). Even more dramatic differences were seen among the Phe+Lys mixtures. Both heterochiral mixtures, DFLK and LFDK, displayed very weak hemolytic activity (Figure 2B). Among all materials we have examined, the heterochiral Phe+Lys mixtures were most successful at mimicking the HDP activity profile, including selectivity for prokaryotic vs. eukaryotic cells. In studies with homogeneous peptides, Shai et al.32-34 have observed that speicific heterochiral sequences can manifest greater antibacterial vs. hemolytic selectivity than do homochiral stereoisomers, but it was not obvious that heterochiral peptide mixtures could be superior to homochiral mixtures.

Figure 2.

Figure 2

Hemolytic activities of Leu+Lys and Phe+Lys mixtures with different stereochemical profiles.

The Phe+Lys stereochemical variation series yielded a curious observation. Both the LFLK and DFDK mixtures were highly hemolytic. The similarity of these two samples is not surprising, because the antibacterial and hemolytic activities of host-defense peptides and their enantiomers are generally indistinguishable.35 (Such observations provided early evidence that the antibacterial mechanism involves interaction with the lipid bilayer rather than a specific protein target.) Figure 2B shows that when the two homochiral mixtures were combined, to generate LFLK+DFDK, a dramatic decline in hemolysis ensued. In contrast to the hemolysis trend, there was little difference in antibacterial activity among LFLK, DFDK and LFLK+DFDK. This puzzling ‘combination effect’ on hemolytic activity was specific to the Phe+Lys series; Figure 2A shows that LLLK, DLDK and LLLK+DLDK were all very similar in hemolytic activity.

We have used solid-phase peptide synthesis methodology in an unusual way to isolate the impact of distinct structural parameters on the antibacterial and hemolytic properties of sequence-random cationic-hydrophobic peptide mixtures. This effort was motivated by widespread and growing interest in cationic-hydrophobic co-polymers,14-23 which may represent useful alternatives to host-defense peptides and other sequence-specific oligomers for antimicrobial applications. Subunit identity, subunit proportion, chain length and stereochemistry are all seen to influence biological activity among the binary mixtures we examined. The results highlight the importance of controlling stereochemistry for achieving an optimal profile, i.e., selectivity for prokaryotic cells, at least among binary subunit combinations. Perhaps this desirable profile can be achieved among homochiral mixtures if the composition is made more diverse, for example, by including subunits that are neither hydrophobic nor cationic.

Supplementary Material

1_si_001

ACKNOWLEDGMENT

This research was supported by the Nanoscale Science and Engineering Center at UW-Madison (DMR-0832760) and the NIH (R01GM093265). Z. H. was supported in part by a Fulbright Fellowship. We would like to acknowledge the UW-Madison peptide center facility.

Footnotes

Notes The authors declare no competing financial interests.

Supporting Information Experimental details for synthesis and analysis of random peptides mixtures, antibacterial assays and hemolytic assays are available free of charge via the Internet at http://pubs.acs.org.

REFERENCES

  • (1).Diamond G, Beckloff N, Weinberg A, Kisich KO. Curr. Pharm. Des. 2009;15:2377–2392. doi: 10.2174/138161209788682325. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (2).Zasloff M. Nature. 2002;415:389–395. doi: 10.1038/415389a. [DOI] [PubMed] [Google Scholar]
  • (3).Rathinakumar R, Walkenhorst WF, Wimley WC. J. Am. Chem. Soc. 2009;131:7609–7617. doi: 10.1021/ja8093247. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (4).Boman HG. J. Intern. Med. 2003;254:197–215. doi: 10.1046/j.1365-2796.2003.01228.x. [DOI] [PubMed] [Google Scholar]
  • (5).Hancock RE. Lancet. Infect. Dis. 2001;1:156–164. doi: 10.1016/S1473-3099(01)00092-5. [DOI] [PubMed] [Google Scholar]
  • (6).Wimley WC. ACS. Chem. Biol. 2010;5:905–917. doi: 10.1021/cb1001558. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (7).Zasloff M. J. Am. Soc. Nephrol. 2007;18:2810–2816. doi: 10.1681/ASN.2007050611. [DOI] [PubMed] [Google Scholar]
  • (8).Hilpert K, Elliott MR, Volkmer-Engert R, Henklein P, Donini O, Zhou Q, Winkler DF, Hancock RE. Chem. Biol. 2006;13:1101–1107. doi: 10.1016/j.chembiol.2006.08.014. [DOI] [PubMed] [Google Scholar]
  • (9).Brogden KA. Nat. Rev. Microbiol. 2005;3:238–250. doi: 10.1038/nrmicro1098. [DOI] [PubMed] [Google Scholar]
  • (10).Yeaman MR, Yount NY. Pharmacol. Rev. 2003;55:27–55. doi: 10.1124/pr.55.1.2. [DOI] [PubMed] [Google Scholar]
  • (11).Shai Y. Biochim. Biophys. Acta-Biomembranes. 1999;1462:55–70. doi: 10.1016/s0005-2736(99)00200-x. [DOI] [PubMed] [Google Scholar]
  • (12).Tossi A, Sandri L, Giangaspero A. Biopolymers. 2000;55:4–30. doi: 10.1002/1097-0282(2000)55:1<4::AID-BIP30>3.0.CO;2-M. [DOI] [PubMed] [Google Scholar]
  • (13).Axelsen PH. Biophys. J. 2008;94:1549–1550. doi: 10.1529/biophysj.107.124792. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (14).Mowery BP, Lee SE, Kissounko DA, Epand RF, Epand RM, Weisblum B, Stahl SS, Gellman SH. J. Am. Chem. Soc. 2007;129:15474–15476. doi: 10.1021/ja077288d. [DOI] [PubMed] [Google Scholar]
  • (15).Gelman MA, Weisblum B, Lynn DM, Gellman SH. Org. Lett. 2004;6:557–560. doi: 10.1021/ol036341+. [DOI] [PubMed] [Google Scholar]
  • (16).Kuroda K, DeGrado WF. J. Am. Chem. Soc. 2005;127:4128–4129. doi: 10.1021/ja044205+. [DOI] [PubMed] [Google Scholar]
  • (17).Palermo EF, Sovadinova I, Kuroda K. Biomacromolecules. 2009;10:3098–3107. doi: 10.1021/bm900784x. [DOI] [PubMed] [Google Scholar]
  • (18).Paslay LC, Abel BA, Brown TD, Koul V, Choudhary V, McCormick CL, Morgan SE. Biomacromolecules. 2012;13:2472–2482. doi: 10.1021/bm3007083. [DOI] [PubMed] [Google Scholar]
  • (19).Mowery BP, Lindner AH, Weisblum B, Stahl SS, Gellman SH. J. Am. Chem. Soc. 2009;131:9735–9745. doi: 10.1021/ja901613g. [DOI] [PubMed] [Google Scholar]
  • (20).Liu R, Chen X, Hayouka Z, Chakraborty S, Falk SP, Weisblum B, Masters KS, Gellman SH. J. Am. Chem. Soc. 2013;135:5270–5273. doi: 10.1021/ja4006404. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (21).Ilker MF, Nusslein K, Tew GN, Coughlin EB. J. Am. Chem. Soc. 2004;126:15870–15875. doi: 10.1021/ja045664d. [DOI] [PubMed] [Google Scholar]
  • (22).Gabriel GJ, Madkour AE, Dabkowski JM, Nelson CF, Nusslein K, Tew GN. Biomacromolecules. 2008;9:2980–2983. doi: 10.1021/bm800855t. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (23).Lienkamp K, Madkour AE, Musante A, Nelson CF, Nusslein K, Tew GN. J. Am. Chem. Soc. 2008;130:9836–9843. doi: 10.1021/ja801662y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (24).Zhou C, Qi X, Li P, Chen WN, Chang MW, Leong SS, Chan-Park MB. Biomacromolecules. 2010;11:60–67. doi: 10.1021/bm900896h. [DOI] [PubMed] [Google Scholar]
  • (25).Engler AC, Shukla A, Puranam S, Buss HG, Jreige N, Hammond PT. Biomacromolecules. 2011;12:1666–1674. doi: 10.1021/bm2000583. [DOI] [PubMed] [Google Scholar]
  • (26).Wang Z, Wang G. Nucleic Acids Res. 2004;32:D590–592. doi: 10.1093/nar/gkh025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (27).Mishra Biswajit, Wang Guangshun. J. Am. Chem. Soc. 2012;134:12426–12429. doi: 10.1021/ja305644e. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (28).Yanisch-Perron C, Vieira J, Messing J. Gene. 1985;33:103–119. doi: 10.1016/0378-1119(85)90120-9. [DOI] [PubMed] [Google Scholar]
  • (29).Young FE, Smith C, Reilly BE. J. Bacteriol. 1969;98:1087–1097. doi: 10.1128/jb.98.3.1087-1097.1969. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (30).Weisblum B, Demohn V. J. Bacteriol. 1969;98:447–452. doi: 10.1128/jb.98.2.447-452.1969. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (31).Nicas TI, Wu CY, Hobbs JN, Jr., Preston DA, Allen NE. Antimicrob. Agents. Chemother. 1989;33:1121–1124. doi: 10.1128/aac.33.7.1121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • (32).Shai Y, Oren Z. J. Biol. Chem. 1996;271:7305–7308. doi: 10.1074/jbc.271.13.7305. [DOI] [PubMed] [Google Scholar]
  • (33).Papo N, Oren Z, Pag U, Sahl HG, Shai Y. J. Biol. Chem. 2002;277:33913–33921. doi: 10.1074/jbc.M204928200. [DOI] [PubMed] [Google Scholar]
  • (34).Pag U, Oedenkoven M, Papo N, Oren Z, Shai Y, Sahl HG. J. Antimicrob. Chemother. 2004;53:230–239. doi: 10.1093/jac/dkh083. [DOI] [PubMed] [Google Scholar]
  • (35).Wade D, Boman A, Drain CM, Andreu D, Boman HG, Merrifield RBP. Natl. Acad. Sci. USA. 1990;87:4761–4765. doi: 10.1073/pnas.87.12.4761. [DOI] [PMC free article] [PubMed] [Google Scholar]

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