Synthetic Peptide Combinatorial Library Research Articles

The use of a combinatorial library method to isolate human tumor cell adhesion peptides.

Tumor cell progression is dependent in part on the successful adhesive interactions of the cells with the extracellular matrix. In this study, a new approach is described to isolate linear peptide ligand candidates involved in cellular adhesion. A synthetic combinatorial peptide library based on the 'one-bead-one-peptide' concept was incubated with live human prostate cancer cells for 90 min at 37 degrees C. The peptide bead coated with a monolayer of cells was then isolated for microsequencing. The DU145 (DU-H) cells were chosen since they have been previously characterized as containing elevated levels of a laminin receptor for cell adhesion, the alpha 6 beta 1 integrin on the cell surface. The use of a function-blocking antibody (GoH3) allows for the detection of peptides which are alpha 6-specific ligand candidates. From two different libraries (linear 9-mer and 11-mer) of a total of 1,500,000 beads, 68 peptide beads containing attached cells were isolated. These positive beads were then retested to determine the ability of the GoH3 antibody to block binding of the cells to the peptide beads. The alpha 6 integrin candidate peptide beads (five in total) were recovered and two of the beads were microsequenced. These two peptides, RU-1 (LNIVS-VNGRHX) and RX-1 (DNRIRLQAKXX), resemble the previously reported active peptide sequences (GD-2 and AG-73) from native laminin. The RU-1, RX-1 and AG-73 peptides were tested for their ability to support cell attachment and to bind the cell surface of DU-H prostate carcinoma cells in suspension using fluorescence-activated cell-sorting (FACS) analysis. Both RU-1 and AG-73 peptides supported cellular attachment within 1 h. In contrast, after 1 h, EHS laminin supported both cellular attachment and spreading. The RX-1 peptide exhibited only weak binding to the DU-H prostate carcinoma cells. FACS analysis indicated that AG-73 peptide attached to tumor cell surfaces over a range of concentrations, whereas the RU-1 peptide showed a homogeneous concentration required for attachment. The described strategy for screening a random peptide library offers three advantages: (i) ligands for conformationally sensitive receptors of adhesion can be isolated using live cells; (ii) specific binding can be selected for using function-blocking antibodies; and (iii) peptides supporting adhesion independent of spreading properties can be distinguished. In principle, specific adhesive peptides without prior knowledge of the sequence could be isolated for any epithelial cell surface receptor for which a function-blocking reagent is available.

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.

Identification of a hexapeptide inhibitor of the human immunodeficiency virus integrase protein by using a combinatorial chemical library.

Integration of human immunodeficiency virus (HIV) DNA into the human genome requires the virus-encoded integrase (IN) protein, and therefore the IN protein is a suitable target for antiviral strategies. To find a potent HIV IN inhibitor, we screened a "synthetic peptide combinatorial library." We identified a hexapeptide with the sequence HCKFWW that inhibits IN-mediated 3'-processing and integration with an IC50 of 2 microM. The peptide is active on IN proteins from other retroviruses such as HIV-2, feline immunodeficiency virus, and Moloney murine leukemia virus, supporting the notion that a conserved region of IN is targeted. The hexapeptide was also tested in the disintegration reaction. This phosphoryl-transfer reaction can be carried out by the catalytic core of IN alone, and the peptide HCKFWW was found to inhibit this reaction, suggesting that the hexapeptide acts at or near the catalytic site of IN. Identification of an IN hexapeptide inhibitor provides proof of concept for the approach, and, moreover, this peptide may be useful for structure-function analysis of IN.

Kinetic characterization of a peptide inhibitor of trypsin isolated from a synthetic peptide combinatorial library

Recently Eichler and Houghten 1 have described the use of a combinatorial peptide library to optimize small trypsin inhibitors. Our kinetic analysis of the most inhibitory peptide, YYGAKIYRPDKM, reveals that it is an inefficiently cleaved substrate for trypsin due to a low k cat. possesses a relatively low K M, and may exhibit nonproductive binding.

Identifying substrate motifs of protein kinases by a random library approach.

Protein phosphorylation is an important posttranslational modification process that plays a crucial role in signal transduction. There are many protein kinases involved in cell signaling. However, substrate motifs of many protein kinases in signal transduction are not well-known. Traditional methodologies for identifying these motifs are often difficult and inefficient. In the present study, we developed a novel approach for discovering linear substrate motifs of protein kinases. This method is based on the screening of random synthetic combinatorial peptide libraries on beads where each bead expresses only one peptide entity [Lam et al. (1991) Nature 354, 82-84]. We chose cyclic AMP-dependent protein kinase (cAPK) as a model system in the present study since it is a well-studied enzyme. Random pentapeptide and heptapeptide libraries were screened with the addition of [gamma-32P]ATP and cAPK. 32P-Labeled peptide-beads were then isolated for microsequencing. The identified peptide motif for cAPK was RRXS and is identical to that reported in the literature. Kinetic studies of the best three peptides indicate that they are efficient substrates for cAPK discovered from random synthetic combinatorial peptide libraries. Our results also suggest that this method is potentially useful for identifying substrate motifs of various protein kinases with high sensitivity and specificity. In addition, this method can also be used as a general method for identifying linear substrate motifs for various posttranslational modifications.

Identification of antimicrobial peptides by using combinatorial libraries made up of unnatural amino acids

The use of water-soluble synthetic peptide combinatorial libraries permits the systematic examination of tens to hundreds of millions of peptides in existing microdilution assays. In the present study, we prepared and determined the antistaphylococcal activities of two new synthetic peptide combinatorial libraries (one N-acetylated, the other not) composed of tetrapeptides having one position defined and the remaining three positions made up of mixtures of L-, D-, and unnatural amino acids (a total of 58 different amino acids). These libraries, when used in conjunction with an iterative selection process, allowed for the development of a series of individually defined tetrapeptides with high levels of activity against Staphylococcus aureus. The activities of the final individual peptides against two additional strains of gram-positive bacteria (methicillin-resistant S. aureus and Streptococcus sanguis), a gram-negative bacterium (Escherichia coli), as well as the yeast Candida albicans were also determined. Cell viability assays showed that the identified peptides are bacteriostatic against both S. aureus and E. coli.

Acetalins: opioid receptor antagonists determined through the use of synthetic peptide combinatorial libraries.

A synthetic peptide combinatorial library made up of 52,128,400 hexapeptides, each having an acetyl group at the N terminus and an amide group on the C terminus, was screened to find compounds able to displace tritiated [D-Ala2,MePhe4,Gly-ol5]enkephalin from mu opioid receptor binding sites in crude rat brain homogenates. Individual peptides with mu receptor affinity were found using an iterative process for successively determining the most active peptide mixtures. Upon completion of this iterative process, the three peptides with the highest affinity were Ac-RFMWMT-NH2, Ac-RFMWMR-NH2, and Ac-RFMWMK-NH2. These peptides showed high affinity for mu and kappa 3 opioid receptors, somewhat lower affinity for delta receptors, weak affinity for kappa 1 receptors, and no affinity for kappa 2 receptors. They were found to be potent mu receptor antagonists in the guinea pig ileum assay and relatively weak antagonists in the mouse vas deferens assay. These peptides represent a class of opioid receptor ligands that we have termed acetalins (acetyl plus enkephalin).

Synthetic peptide combinatorial libraries (SPCLs): identification of the antigenic determinant of β-endorphin recognized by monoclonal antibody 3E7

The use of synthetic peptide combinatorial libraries (SPCLs), each composed of tens of millions of peptides, is described here for the identification of bioactive peptides. The identification of optimal peptide sequences is achieved through the screening of SPCLs in solution, each element of which is composed of more than 10 5 nonsupport-bound peptides in approximately equimolar representation, along with an iterative synthesis and screening process. Using an SPCL composed in total of 52 128 400 nonacetylated hexapeptides, along with an iterative selection process based on competitive ELISA, we identified the antigenic determinant of β-endorphin recognized by monoclonal antibody (mAb) 3E7. These results will be compared with the results found by others investigating mAb 3E7 using different peptide library approaches.

The use of synthetic peptide combinatorial libraries for the determination of peptide ligands in radio-receptor assays: Opioid peptides

A synthetic peptide combinatorial library (SPCL) was prepared, composed of 52,128,400 L-amino acid hexapeptides, which was used with an iterative selection process to determine peptides capable of inhibiting binding of [ 3H] [D-Ala 2,MePhe 4,Gly-ol 5]enkephalin (DAGO) to crude rat brain homogenates. The first five residues corresponded exactly to the naturally occurring opioid peptide sequences of methionine and leucine enkephalin.

The use of positional scanning synthetic peptide combinatorial libraries for the rapid determination of opioid receptor ligands

The application of a new synthetic peptide combinatorial library (SPCL) is described. This library, termed a positional scanning SPCL, contains six positional SPCLs, each of which contains all possible hexameric combinations of 18 of the 20 natural L-amino acids (18 6 = 34, 012, 224 peptides). Each positional SPCL (O 1XXXXX-NH 2, XO 2XXXX-NH 2, XXO 3XXX-NH 2, XXXO 4XX-NH 2, XXXXO 5X-NH 2, and XXXXXO 6-NH 2) was used to determine the most active amino acid for the six positions of a hexamer. Combinations of these amino acids were used to synthesize 24 individual peptides, which were then tested for activity. The most active peptide found corresponded to a hexameric analogue of methionine-enkephalin. Results obtained in this study are compared to those obtained using the SPCL described earlier (1) (O 1O 2XXXX-NH 2), and the subsequent iterative process.

Identification of related peptides recognized by a monoclonal antibody using a synthetic peptide combinatorial library

Synthetic peptide combinatorial libraries (SPCLs) are composed of tens of millions of peptide sequences from which specific sequences can be systematically determined. The broad versatility of SPCLs residues in the fact that nonsupport-bound peptides are generated in quantities sufficient for use in the majority of existing bioassays. In the present study, an SPCL composed of more than 52 million peptides was screened with an antipeptide monoclonal antibody for the identification of peptide sequences that inhibit the interaction of the monoclonal antibody with its known antigenic peptide. Upon the completion of an iterative screening and selection process utilized in the SPCL approach, a number of peptide sequences that were related to the known antigenic determinant region were found.

Generation and use of synthetic peptide combinatorial libraries for basic research and drug discovery

Existing methods for the synthesis and screening of large numbers of peptides are limited by their inability to generate and screen the requisite number (millions) of individual peptides and/or their inability to generate unmodified free peptides in quantities able to interact in solution. We have circumvented these limitations by developing synthetic peptide combinatorial libraries composed of mixtures of free peptides in quantities which can be used directly in virtually all existing assay systems. The screening of these heterogeneous libraries, along with an iterative selection and synthesis process, permits the systematic identification of optimal peptide ligands. Starting with a library composed of more than 34 million hexa-peptides, we present here the precise identification of an antigenic determinant recognized by a monoclonal antibody as well as the straightforward development of new potent antimicrobial peptides.