Versatility of positional scanning synthetic combinatorial libraries for the identification of individual compounds

Inhibition of Melittin Activity Using a Small Molecule with an Indole Ring

We investigated d-amino acids as potential inhibitors targeting l-peptide toxins. Among the l- and d-amino acids tested, we found that d-tryptophan (d-Trp) acted as an inhibitor of melittin-induced hemolysis. We then evaluated various Trp derivatives and found that 5-chlorotryptamine (5CT) had the largest inhibitory effect on melittin. The indole ring, amino group, and steric hindrance of an inhibitor played important roles in the inhibition of melittin activity. Despite the small size and simple molecular structure of 5CT, its IC₅₀ was approximately 13 μg/mL. Fluorescence quenching, circular dichroism measurements, and size-exclusion chromatography revealed that 5CT interacted with Trp19 in melittin and affected the formation of the melittin tetramer involved in hemolysis. Molecular dynamics simulation of melittin also indicated that the interaction of 5CT with Trp19 in melittin affected the formation of the tetramer.

Synthetic Peptide Libraries: From Random Mixtures to In Vivo Testing

Combinatorially generated molecular repertoires have been largely used to identify novel bioactive compounds. Ever more sophisticated technological solutions have been proposed to simplify and speed up such process, expanding the chemical diversity space and increasing the prospect to select new molecular entities with specific and potent activities against targets of therapeutic relevance. In this context, random mixtures of oligomeric peptides were originally used and since 25 years they represent a continuous source of bioactive molecules with potencies ranging from the sub-nM to microM concentration. Synthetic peptide libraries are still employed as starting "synthetic broths" of structurally and chemically diversified molecular fragments from which lead compounds can be extracted and further modified. Thousands of studies have been reported describing the application of combinatorial mixtures of synthetic peptides with different complexity and engrafted on diverse structural scaffolds for the identification of new compounds which have been further developed and also tested in in vivo models of relevant diseases. We briefly review some of the most used methodologies for library preparation and screening and the most recent case studies appeared in the literature where compounds have reached at least in vivo testing in animal or similar models. Recent technological advancements in biotechnology, engineering and computer science have suggested new options to facilitate the discovery of new bioactive peptides. In this instance, we anticipate here a new approach for the design of simple but focused tripeptide libraries against druggable cavities of therapeutic targets and its complementation with existing approaches.

Bridging immunogenetics and immunoproteomics: Model positional scanning library analysis for Major Histocompatibility Complex class II DQ in Tursiops truncatus

The Major Histocompatibility Complex (MHC) is a critical element in mounting an effective immune response in vertebrates against invading pathogens. Studies of MHC in wildlife populations have typically focused on assessing diversity within the peptide binding regions (PBR) of the MHC class II (MHC II) family, especially the DQ receptor genes. Such metrics of diversity, however, are of limited use to health risk assessment since functional analyses (where changes in the PBR are correlated to recognition/pathologies of known pathogen proteins), are difficult to conduct in wildlife species. Here we describe a means to predict the binding preferences of MHC proteins: We have developed a model positional scanning library analysis (MPSLA) by harnessing the power of mixture based combinatorial libraries to probe the peptide landscapes of distinct MHC II DQ proteins. The algorithm provided by NNAlign was employed to predict the binding affinities of sets of peptides generated for DQ proteins. These binding affinities were then used to retroactively construct a model Positional Scanning Library screen. To test the utility of the approach, a model screen was compared to physical combinatorial screens for human MHC II DP. Model library screens were generated for DQ proteins derived from sequence data from bottlenose dolphins from the Indian River Lagoon (IRL) and the Atlantic coast of Florida, and compared to screens of DQ proteins from Genbank for dolphin and three other cetaceans. To explore the peptide binding landscape for DQ proteins from the IRL, combinations of the amino acids identified as active were compiled into peptide sequence lists that were used to mine databases for representation in known proteins. The frequency of which peptide sequences predicted to bind the MHC protein are found in proteins from pathogens associated with marine mammals was found to be significant (p values <0.0001). Through this analysis, genetic variation in MHC (classes I and II) can now be associated with the binding repertoires of the expressed MHC proteins and subsequently used to identify target pathogens. This approach may be eventually applied to evaluate individual population and species risk for outbreaks of emerging diseases.

Direct Phenotypic Screening in Mice: Identification of Individual, Novel Antinociceptive Compounds from a Library of 734,821 Pyrrolidine Bis-piperazines

The hypothesis in the current study is that the simultaneous direct in vivo testing of thousands to millions of systematically arranged mixture-based libraries will facilitate the identification of enhanced individual compounds. Individual compounds identified from such libraries may have increased specificity and decreased side effects early in the discovery phase. Testing began by screening ten diverse scaffolds as single mixtures (ranging from 17,340 to 4,879,681 compounds) for analgesia directly in the mouse tail withdrawal model. The "all X" mixture representing the library TPI-1954 was found to produce significant antinociception and lacked respiratory depression and hyperlocomotor effects using the Comprehensive Laboratory Animal Monitoring System (CLAMS). The TPI-1954 library is a pyrrolidine bis-piperazine and totals 738,192 compounds. This library has 26 functionalities at the first three positions of diversity made up of 28,392 compounds each (26 × 26 × 42) and 42 functionalities at the fourth made up of 19,915 compounds each (26 × 26 × 26). The 120 resulting mixtures representing each of the variable four positions were screened directly in vivo in the mouse 55 °C warm-water tail-withdrawal assay (ip administration). The 120 samples were then ranked in terms of their antinociceptive activity. The synthesis of 54 individual compounds was then carried out. Nine of the individual compounds produced dose-dependent antinociception equivalent to morphine. In practical terms what this means is that one would not expect multiexponential increases in activity as we move from the all-X mixture, to the positional scanning libraries, to the individual compounds. Actually because of the systematic formatting one would typically anticipate steady increases in activity as the complexity of the mixtures is reduced. This is in fact what we see in the current study. One of the final individual compounds identified, TPI 2213-17, lacked significant respiratory depression, locomotor impairment, or sedation. Our results represent an example of this unique approach for screening large mixture-based libraries directly in vivo to rapidly identify individual compounds.

Identification of two novel, potent, low-liability antinociceptive compounds from the direct in vivo screening of a large mixture-based combinatorial library

Synthetic combinatorial methods now make it practical to readily produce hundreds of thousands of individual compounds, but it is clearly impractical to screen each separately in vivo. We theorized that the direct in vivo testing of mixture-based combinatorial libraries during the discovery phase would enable the identification of novel individual compounds with desirable antinociceptive profiles while simultaneously eliminating many compounds with poor absorption, distribution, metabolism, or pharmacokinetic properties. The TPI 1346 small-molecule combinatorial library is grouped in 120 mixtures derived from 26 functionalities at the first three positions and 42 functionalities at the fourth position of a pyrrolidine bis-cyclic guanidine core scaffold, totaling 738,192 compounds. These 120 mixtures were screened in vivo using the mouse 55 degrees C warm water tail-withdrawal assay to identify mixtures producing antinociception. From these data, two fully defined individual compounds (TPI 1818-101 and TPI 1818-109) were synthesized. These were examined for antinociceptive, respiratory, locomotor, and conditioned place preference effects. The tail-withdrawal assay consistently demonstrated distinctly active mixtures with analgesic activity that was blocked by pretreatment with the non-selective opioid antagonist, naloxone. Based on these results, synthesis and testing of TPI 1818-101 and 1818-109 demonstrated a dose-dependent antinociceptive effect three to five times greater than morphine that was antagonized by mu- or mu- and kappa-opioid receptor selective antagonists, respectively. Neither 1818-101 nor 1818-109 produced significant respiratory depression, hyperlocomotion, or conditioned place preference. Large, highly diverse mixture-based libraries can be screened directly in vivo to identify individual compounds, potentially accelerating the development of promising therapeutics.

Identification of potent and highly selective chiral tri-amine and tetra-amine μ opioid receptors ligands: An example of lead optimization using mixture-based libraries

The generation of chiral polyamine libraries has been successfully accomplished in our laboratory following exhaustive reduction of resin-bound peptides. Herein, we report the synthesis and screening results of a positional scanning mixture-based library of chiral hepta-amines in a radioreceptor assay for the opioid receptor. The positional scanning hepta-amine library was generated by the exhaustive reduction of a library of 34,012,070 hexapeptides. Following screening of the entire library, combinations of the most active functionalities found at each position were used to synthesize and screen 40 individual hepta-amines and served as starting 'hits' for further SAR studies. The individual compounds showed IC(50) values ranging from 14 to 345 nM. As might be anticipated by the known studies of mu opiate antagonists, the identified active hepta-amines possessed aromatic rings derived from phenylalanine and tyrosine amino acid side chains. Following SAR studies, a truncation analog, reduced and permethylated YYF-NH(2), was found to be highly active (0.5 nM) as a selective mu antagonist in the guinea pig ileum bioassay.

In vitro and direct in vivo testing of mixture-based combinatorial libraries for the identification of highly active and specific opiate ligands

The use of combinatorial libraries for the identification of novel opiate and related ligands in opioid receptor assays is reviewed. Case studies involving opioid assays used to demonstrate the viability of combinatorial libraries are described. The identification of new opioid peptides composed of L-amino acids, D-amino acids, or L-, D-, and unnatural amino acids is reviewed. New opioid compounds have also been identified from peptidomimetic libraries, such as peptoids and alkylated dipeptides, and those identified from acyclic (eg, polyamine, urea) and heterocyclic (eg, bicyclic guanidine) libraries are reviewed.

Epitope mapping using mRNA display and a unidirectional nested deletion library

In vitro selection targeting an anti-polyhistidine monoclonal antibody was performed using mRNA display with a random, unconstrained 27-mer peptide library. After six rounds of selection, epitope-like peptides were identified that contain two to five consecutive, internal histidines and are biased for arginine residues, without any other identifiable consensus. The epitope was further refined by constructing a high-complexity, unidirectional fragment library from the final selection pool. Selection by mRNA display minimized the dominant peptide from the original selection to a 15-residue functional sequence (peptide Cmin: RHDAGDHHHHHGVRQ; K(D) = 38 nM). Other peptides recovered from the fragment library selection revealed a separate consensus motif (ARRXA) C-terminal to the histidine track. Kinetics measurements made by surface plasmon resonance, using purified Fab (antigen-binding fragment) to prevent avidity effects, demonstrate that the selected peptides bind with 10- to 75-fold higher affinities than a hexahistidine peptide. The highest affinity peptides (K(D) approximately 10 nM) encode both a short histidine track and the ARRXA motif, suggesting that the motif and other flanking residues make important contacts adjacent to the core polyhistidine-binding site and can contribute >2.5 kcal/mol of binding free energy. The fragment library construction methodology described here is applicable to the development of high-complexity protein or cDNA expression libraries for the identification of protein-protein interaction domains.

Design and synthesis of an optimized positional scanning library of peptoids: identification of novel multidrug resistance reversal agents

Herein is reported the optimized solid-phase synthesis of a library of 5,120 trimeric N-alkylglycines (peptoids) using the positional scanning format and the submonomer strategy. Diversity at the N-terminal position was generated from 20 commercially available primary amines, whereas 16 primary amines were employed for the middle and C-terminal positions of the trimers. Formation of undesirable side-products observed in a previous library synthesis (Humet, M. et al. J. Comb. Chem. 2003, 5, 597-605) was averted by restricting the use of primary amines functionalized with tertiary amino groups to the third amination step. Screening of the new library for the identification of chemosensitizers yielded two peptoids, compounds 1 and 2, with potent in vitro activity as multidrug resistance (MDR) reversal agents. The structures of the lead peptoids are consistent with a pharmacophore model generated from the interaction of various known inhibitors with the MDR-implicated transmembrane glycoprotein P-gp.

Parallel array and mixture-based synthetic combinatorial chemistry: tools for the next millennium

Technological advances continue to be a central driving force in the acceleration of the drug discovery process. Combinatorial chemistry methods, developed over the past 15 years, represent a paradigm shift in drug discovery. Initially viewed as a curiosity by the pharmaceutical industry, combinatorial chemistry is now recognized as an essential tool that decreases the time of discovery and increases the throughput of chemical screening by as much as 1000-fold. The use of parallel array synthesis approaches and mixture-based combinatorial libraries for drug discovery is reviewed.

New opioid peptides, peptidomimetics, and heterocyclic compounds from combinatorial libraries

Here we review the use of combinatorial libraries in opioid receptor assays. Following a brief description of the history of the combinatorial field, methods for the generation of synthetic libraries and the deconvolution of mixture-based libraries are presented. Case studies involving opioid assays used to demonstrate the viability of combinatorial libraries are described. The identification of new opioid peptides from combinatorial libraries is reviewed. The peptides found are composed of L-amino acids, D-amino acids, or L-, D-, and unnatural amino acids, and range from tetrapeptides to decapeptides. Likewise, new opioid compounds identified from peptidomimetic libraries, such as peptoids and alkylated dipeptides, and those identified from acyclic (e.g., polyamine, urea) and heterocyclic (e.g., bicyclic guanidine) libraries, are reviewed.

Combinatorial chemistry as a tool for drug discovery

The question 'will combinatorial chemistry deliver real medicines' has been posed [96]. First it is important to realise that the chemical part of the drug discovery process cannot stand alone; the integration of synthesis and biological assays is fundamental to the combinatorial approach. The results presented in Tables 3.1 to 3.8 suggest that so far smaller directed combinatorial libraries have obtained equivalent results to those obtained previously from traditional medicinal chemistry analogue programs. Unfortunately, because of the long time it takes to develop pharmaceutical drugs there are no examples yet of marketed drugs discovered by combinatorial methods. There are interesting examples where active leads have been discovered from the screening of the same library against multiple targets (e.g. libraries 13, 39, 43, 66, 71 and 76). It is now possible to handle much larger libraries of non-oligomeric structures and the chemistry required for such applications is becoming available. Whether combinatorial approaches can also be adapted to deal with all the other requirements of a successful pharmaceutical (lack of toxicity, bioavailability etc.) is open to question but there are already examples such as cassette dosing [235-237]. However we can still be optimistic about the possibility of larger libraries producing avenues of investigation for the medicinal chemist to develop into real drugs. Combinatorial chemistry is an important tool for the medicinal chemist.

Exploring immunological specificity using synthetic peptide combinatorial libraries

The definition of epitopes for human B and T cells is fundamental for the understanding of the immune response mechanism and its role in the prevention and cause of human disease. This understanding can be applied to the design of diagnostics and synthetic vaccines. In recent years, the understanding of the specificity of B and T cells has been advanced significantly by the development and use of combinatorial libraries made up of thousands to millions of synthetic peptides. The use of this approach has had four major effects: first, the definition of high affinity ligands both for T cells and antibodies; second, the application of alternative means for identifying immunologically relevant peptides for use as potential preventive and therapeutic vaccines; third, a new appreciation of the requirements for TCR interactions with peptide-MHC complexes in immunogenicity; fourth, the establishment of new principles regarding the level of cross-reactivity in immunological recognition.

All-D peptides recognized by an anti-carbohydrate antibody identified from a positional scanning library

Monoclonal antibodies recognize antigens with high affinity and specificity, but the structural basis for molecular mimicry remains unclear. It is often assumed that cross-reactive antigens share some structural similarity that is specifically recognized by a monoclonal antibody. Recent studies using combinatorial libraries, which are composed of millions of sequences, have examined antibody cross-reactivity in a manner entirely different from traditional epitope mapping approaches. Here, peptide libraries were screened against an anti-carbohydrate monoclonal antibody for the identification of peptide mimics. Positional scanning libraries composed of all-l or all-d hexapeptides were screened for inhibition of monoclonal antibody HGAC 39.G3 binding to an antigen displaying N-acetyl-d-glucosamine (GlcNAc) residues on a polyrhamnose backbone. Inhibitory activity by mixtures from the all-d hexapeptide library was greater than the activity from the all-l libraries. The most active d-amino acid residues defined in each of the six positions of the library were selected to prepare 27 different individual hexapeptides. The sequence Ac-yryygl-NH2 was specifically recognized by mAb HGAC 39.G3 with a relative affinity of 300 nM when measured in a competitive binding assay. The contributions to overall specificity of the residues of the all-d peptide (Ac-yryygl-NH2) in binding to mAb HGAC 39.G3 were examined with a series of truncation, l and d-amino acid substitution, and retro analogs. Dimeric forms of the all-d peptide were recognized with tenfold to 100-fold greater affinities relative to the monomer. The all-d peptide was found to inhibit mAb HGAC 39.G3 binding to an anti-idiotype antibody with approximately 1000-fold greater affinity than GlcNAc. As demonstrated here, the study of immune recognition using combinatorial chemistry may offer new insights into the molecular basis of cross-reactivity.

Identification of inhibitors of prohormone convertases 1 and 2 using a peptide combinatorial library

A positional scanning synthetic peptide combinatorial library containing approximately 52 million hexapeptides was used to identify potential inhibitory peptides for recombinant mouse prohormone convertase 1 (PC1) and PC2 and to provide information on the specificity of these enzymes. The library surveys revealed that a P6 Leu, a P4 Arg, a P2 Lys, and a P1 Arg were most inhibitory against PC1, and a P6 Ile and a P4 Arg were most inhibitory against PC2. Using information derived from the library surveys, hexapeptide sets were synthesized and screened for inhibition of PC1 and PC2. The data obtained revealed the preference of both enzymes for a P3 Val. At P5, many substitutions were well tolerated. PC1 and PC2 proved to differ mainly in the selectivity of their S6 subsites. In PC1, this subsite displayed a strong preference toward occupation by Leu; the Ki value for peptide Ac-Leu-Leu-Arg-Val-Lys-Arg-NH2 was 28 times lower than that for peptide Ac-Ile-Ile-Arg-Val-Lys-Arg-NH2. In contrast, PC2 discriminated little between Leu and Ile at P6, as evidenced by the small (1.5-fold) difference in Ki values for these two peptides. Several hexapeptides synthesized as a result of the screen were found to represent potent inhibitors of PC2 (with Ki values in the submicromolar range) and, particularly, of PC1 (with Ki values in the low nanomolar range). The most potent inhibitor, Ac-Leu-Leu-Arg-Val-Lys-Arg-NH2, proved to be the same peptide for both enzymes and inhibited PC1 and PC2 in a competitive, fast-binding manner with Ki values of 3.2 and 360 nM, respectively. The four most potent peptide inhibitors of PC1 and PC2 were also tested against soluble human furin and found to exhibit a different rank order of inhibition; for example, Ac-Leu-Leu-Arg-Val-Lys-Arg-NH2 was 440-fold less potent against furin than against PC1, with a Ki of 1400 nM.

Design of self-coded combinatorial libraries to facilitate direct analysis of ligands by mass spectrometry

The direct analysis of selected components from combinatorial libraries by sensitive methods such as mass spectrometry is potentially more efficient than deconvolution and tagging strategies since additional steps of resynthesis or introduction of molecular tags are avoided. A substituent selection procedure is described that eliminates the mass degeneracy commonly observed in libraries prepared by "split-and-mix" methods, without recourse to high-resolution mass measurements. A set of simple rules guides the choice of substituents such that all components of the library have unique nominal masses. Additional rules extend the scope by ensuring that characteristic isotopic mass patterns distinguish isobaric components. The method is applicable to libraries having from two to four varying substituent groups and can encode from a few hundred to several thousand components. No restrictions are imposed on the manner in which the "self-coded" library is synthesized or screened.

A combinatorial approach for determining protease specificities: application to interleukin-1beta converting enzyme (ICE)

BACKGROUND

Interleukin-1beta converting enzyme (ICE/caspase-1) is the protease responsible for interleukin-1beta (IL-1beta) production in monocytes. It was the first member of a new cysteine protease family to be identified. Members of this family have functions in both inflammation and apoptosis.

RESULTS

A novel method for identifying protease specificity, employing a positional-scanning substrate library, was used to determine the amino-acid preferences of ICE. Using this method, the complete specificity of a protease can be mapped in the time required to perform one assay. The results indicate that the optimal tetrapeptide recognition sequence for ICE is WEHD, not YVAD, as previously believed, and this led to the synthesis of an unusually potent aldehyde inhibitor, Ac-WEHD-CHO (Ki = 56 pM). The structural basis for this potent inhibition was determined by X-ray crystallography.

CONCLUSIONS

The results presented in this study establish a positional-scanning library as a powerful tool for rapidly and accurately assessing protease specificity. The preferred sequence for ICE (WEHD) differs significantly from that found in human pro-interleukin-1beta (YVHD), which suggests that this protease may have additional endogenous substrates, consistent with evidence linking it to apoptosis and IL-1alpha production.

Exploring antibody polyspecificity using synthetic combinatorial libraries

Extensive mapping studies for seven antigen-antibody interactions have been carried out using both individual analogs and peptide libraries. With competitive ELISA, these studies have revealed that monoclonal antibodies exhibit a broad range of specificities, from antibodies that recognize only conservative substitutions for 1-2 positions of the antigenic determinant, to antibodies that recognize sequences that are completely unrelated to the parent antigen with comparable affinities. Synthetic combinatorial libraries, containing millions of peptide sequences, permit a more systematic and rapid evaluation of the extent of multiple-binding specificities of monoclonal antibodies than individual analogs. The peptide libraries used here comprise mixtures of compounds having specifically defined positions and mixture positions. The same diversity of sequences in different formats, which differ by the numbers of positions singularly defined and different locations defined within the sequence, can be examined. Comparison of the screening results, selection criteria of the most active mixtures, and different approaches used for the deconvolution of active individual compounds are discussed. Synthetic combinatorial libraries greatly facilitate the understanding of antigen-antibody interactions at the amino acid level and will assist in the development of improved immunodiagnostics.

Libraries from libraries: generation and comparison of screening profiles

A positional scanning tetrapeptide library was chemically modified through alkylation and/or reduction of the amide bonds, thus generating three new combinatorial libraries with physico-chemical properties very different from the parent peptide library ('libraries from libraries'). Specific results were obtained with each of these libraries upon screening in kappa-opioid receptor binding and microdilution antimicrobial assays, illustrating the potential of the 'libraries from libraries' concept for the efficient generation of a variety of chemically diverse combinatorial libraries.

Novel alpha-glucosidase inhibitors identified using multiple cyclic peptide combinatorial libraries

Twenty-six cyclic synthetic peptide combinatorial libraries (disulfides and lactams) of varying size and composition, representing 6.8 x 10(3) to 4.7 x 10(7) individual peptides, were synthesized along with their respective linear analogs. One of the hexapeptide lactam libraries (cyclo[xXxXxN]) was found to have significant alpha-glucosidase inhibitory activity. This library was carried through an iterative process of synthesis and screening, during which all of the five mixture positions (x and X) were successively defined. As the result of this process, potent and selective alpha-glucosidase inhibitors were identified.

Deconvolution of combinatorial libraries for drug discovery: experimental comparison of pooling strategies

An experimental evaluation of several different pooling strategies for combinatorial libraries was conducted using a library of 810 compounds and an enzyme inhibition assay (phospholipase A2). The library contained compounds with varying degrees of activity as well as inactive compounds. The compounds were synthesized in groups of three and pooled together in various formats to realize different pooling strategies. With one exception, all iterative deconvolution strategies and position scanning resulted in identification of the same compound. The results are in good agreement with the predicted outcome from theoretical and computational methods. These data support the tenet that active compounds for pharmaceutically relevant targets can be successfully identified from combinatorial libraries organized in mixtures.

Peptide inhibitors of melittin action

The sequence of peptides necessary to inhibit melittin-induced lysis was studied using 13 peptide analogues of the inhibitor Ac-IVIFDC-NH2. Although this inhibitor is a disulfide-linked dimer, inhibition was equally effective if the thiol SH was blocked or replaced by methionine or lysine. The substitution of phenylalanine with other aromatic residues preserved activity, as did the replacement of aspartic acid by asparagine. The results suggest that the cytolytic activity of melittin can be inhibited by a short peptide of four hydrophobic residues followed by two other nonspecific residues. Fluorescence studies showed that the inhibitor caused a blue shift in the Trp emission spectrum. A spin label attached to the N-terminus of the inhibitor significantly quenched the fluorescence. These data confirmed the involvement of Trp 19 with the inhibitor, also predicted by molecular modeling of the probable binding site. Density gradient studies with large unilamellar vesicles indicated that the inhibitor prevented melittin from reacting with the lipid bilayer.

Synthetic library techniques: subjective (biased and generic) thoughts and views

Various aspects of synthetic diversity generation and screening are discussed. Controversial issues are raised and different points of view are presented. We hope the article will stimulate thinking about the utilization of library techniques and start a discussion about questions concerning their application.

All D-amino acid hexapeptide inhibitors of melittin's cytolytic activity derived from synthetic combinatorial libraries

The identification of peptides that inhibit the biological functions of proteins was used as a means to explore protein/ligand interactions involved in molecular recognition processes. This approach is based on the use of synthetic combinatorial libraries (SCLs) for the rapid identification of individual peptides that block the interaction of proteins with their biological targets. Thus, each peptide mixture of an all-D-amino acid hexapeptide SCL in a positional scanning format was screened for its ability to inhibit the hemolytic activity of melittin, a model self-assembling protein. The potent inhibitory activity of the identified individual peptides suggests that protein-like complexes are able to specifically bind to peptides having an all-D configuration. These results also show that SCLs are useful for the identification of short, non-hydrolysable sequences having potential intracellular inhibitory activities.

Identification of inhibitors of melittin using nonsupport-bound combinatorial libraries

A strategy has been developed for the identification of inhibitors of toxins or regulatory proteins. This approach is based on blocking the access of such proteins to their biological targets during their solution transport. This approach uses the strength of nonsupport-bound synthetic combinatorial libraries (SCLs) for the study of acceptor-ligand interactions. A non-receptor assisted toxin, melittin, was selected for the present study to illustrate this application of the SCL approach. Hexapeptide SCLs were assayed for their ability to inhibit the cytolytic activity of melittin toward bacterial and erythrocyte cells. Over 20 inhibitory hexapeptides were identified following the screening and deconvolution processes from millions of sequences. The identified inhibitory peptides appeared to interact directly with melittin. These interactions appear to decrease melittin's ability to undergo lipid- and/or polysaccharide-induced conformational changes, and are demonstrated by fluorescence and circular dichroism spectroscopy.

Generation and utilization of synthetic combinatorial libraries

The use of combinatorial chemistry is fundamentally changing the pace and scope of basic research and drug discovery. Since the introduction of synthetic peptide libraries several years ago, combinatorial chemistry has proven to be a powerful tool for the generation of immense molecular diversities of peptides, peptidomimetics and new organic compounds. This article briefly reviews methods for the generation and application of combinatorial libraries, with particular emphasis on soluble synthetic combinatorial libraries. The utility of these molecular diversities for basic research and drug discovery has been demonstrated through the identification of numerous highly active compounds such as antigenic peptides, receptor ligands, antimicrobial compounds and enzyme inhibitors.

A review of the utility of soluble peptide combinatorial libraries

This paper reviews the preparation and use of soluble synthetic combinatorial libraries (SCLs) made up of millions of peptide and nonpeptide sequences for the identification of highly active individual compounds. First presented in 1991, SCLs have been prepared in a number of different lengths and formats, and are composed entirely of L-, D-, and unnatural amino acids. Also, existing peptide libraries have been chemically transformed to yield large diversities of nonpeptidic compounds. This review encompasses the published work from this laboratory using SCLs for the identification of antigenic sequences recognized by monoclonal antibodies, novel peptide agonists and antagonists to opioid receptors, new trypsin inhibitors, novel antibacterials, and compounds that inhibit melittin's hemolytic activity. SCLs offer a fundamental, practical advance in the study of interactions between peptide and nonpeptide sequences and their biochemical or pharmacological targets.