Screening Of Random Peptide Libraries Research Articles

PDL1Binder: Identifying programmed cell death ligand 1 binding peptides by incorporating next-generation phage display data and different peptide descriptors.

Monoclonal antibody drugs targeting the PD-1/PD-L1 pathway have showed efficacy in the treatment of cancer patients, however, they have many intrinsic limitations and inevitable drawbacks. Peptide inhibitors as alternatives might compensate for the drawbacks of current PD-1/PD-L1 interaction blockers. Identifying PD-L1 binding peptides by random peptide library screening is a time-consuming and labor-intensive process. Machine learning-based computational models enable rapid discovery of peptide candidates targeting the PD-1/PD-L1 pathway. In this study, we first employed next-generation phage display (NGPD) biopanning to isolate PD-L1 binding peptides. Different peptide descriptors and feature selection methods as well as diverse machine learning methods were then incorporated to implement predictive models of PD-L1 binding. Finally, we proposed PDL1Binder, an ensemble computational model for efficiently obtaining PD-L1 binding peptides. Our results suggest that predictive models of PD-L1 binding can be learned from deep sequencing data and provide a new path to discover PD-L1 binding peptides. A web server was implemented for PDL1Binder, which is freely available at http://i.uestc.edu.cn/pdl1binder/cgi-bin/PDL1Binder.pl.

High-titer antibody depletion enhances discovery of diverse serum antibody specificities

The human antibody repertoire is a unique repository of information regarding infection, inflammation, and autoimmunity of the past, present, and future. However, antibodies can span vast ranges of concentrations with varying affinities and the repertoire is often heavily polarized by a few species. These complexities lead to difficulties detecting and characterizing low abundance antibody species that may be relevant to disease. We therefore developed a method to selectively remove antibodies from a sample in proportion to the titer of the species prior to analysis, referred to as high-titer depletion (HTD). Peptides from a large random peptide display library were enriched towards binding high-titer antibody species and utilized as binding reagents to deplete the corresponding species from the specimen. HTD enabled the discovery of antibody binding specificities using random peptide library screening with reduced cross-reactivity and background signal and improved coverage of low abundance species. With HTD, three monoclonal antibody species were detected at concentrations at least an order of magnitude lower than without HTD. Additionally, 92 serum antibody specificities were readily discovered from an individual specimen using HTD compared to only 25 specificities without HTD. Parameters affecting the extent of depletion such as the concentration of depleted serum were also adjusted to reproducibly improve the coverage of antibody specificities. These results demonstrate that HTD could be employed for the discovery of rare specificities related to disease and enable extensive characterization of the antibody repertoire. Moreover, the strategy of depletion in proportion to titer could be extended to other applications with complex biological samples to improve discovery.

Development of Selective Peptide Catalysts with Secondary Structural Frameworks.

Enzymes are biogenic catalysts that enable the vital activity of organisms. Enzymes promote reactions in a selective manner with a high level of substrate recognition ability. The development of such a sophisticated catalyst has been one of the goals for chemists. A synthetic peptide is the prime candidate to realize an enzyme-like catalyst. Considering that the catalytic function of enzymes derives from their molecular structures, the key for the creation of a peptide catalyst might be the introduction of a specific three-dimensional structure. Our motivation was to find a peptide catalyst with a versatile secondary structural framework and apply the peptide to a variety of selective reactions. Although helical-peptide-catalyzed asymmetric epoxidation of enones is popular, no other highly enantioselective reaction with a helical peptide has been reported. It was found that resin-supported α-helical polyleucine promoted asymmetric conjugate addition of a carbon nucleophile to enones via the formation of an iminium intermediate at the N-terminal amino group. By changing the helical chain to a repetitive Leu-Leu-Aib (Aib = α-aminoisobutyric acid) sequence and introducing a few amino acids to the N-terminus, a highly enantioselective peptide catalyst was obtained. The helical peptide catalyst was applicable for a tandem enamine/iminium-mediated reaction and asymmetric epoxidation of enones. Although the extension of the helical peptide to conjugate addition of a nucleophile to an enal was not successful simply by attaching proline to the N-terminus of the helix, the incorporation of a β-turn motif was effective to improve the catalytic performance. In the sequence of such a turn-helix-type peptide, the helical part was seemingly distant from the N-terminal amino group; however, the hydrophobicity, structure, and chirality of the helix largely affected the reaction. The turn-helix-type peptide promoted a wide range of asymmetric reactions: conjugated additions of hydride and carbon nucleophiles to enals via the iminium activation and α-oxyamination of aldehydes via the enamine activation. The peptides with turn-helix and helix frameworks were also employed for several reactions that were difficult to achieve with low-molecular-weight catalysts: enzyme-cocatalyzed asymmetric oxidation in water, diastereo- and enantioselective cyclopropanation, regioselective reduction of dienals, kinetic resolution of planar-chiral compounds, and desymmetrization to induce planar chirality. To explore other types of peptide catalysts, a combinatorial library screening was performed. On the way, it was revealed that a histidyl residue assisted to accelerate a reaction via reversible addition to an iminium intermediate. Through the screening of random peptide libraries, novel peptide sequences for efficient and enantioselective conjugate addition were discovered. Although we have no information about the molecular structure of the newly found peptides, they can be an entry point for establishing a versatile framework of peptide catalysts.

Prediction of antibody structural epitopes via random peptide library screening and next generation sequencing

Next generation sequencing (NGS) is widely applied in immunological research, but has yet to become common in antibody epitope mapping. A method utilizing a 12-mer random peptide library expressed in bacteria coupled with magnetic-based cell sorting and NGS correctly identified >75% of epitope residues on the antigens of two monoclonal antibodies (trastuzumab and bevacizumab). PepSurf, a web-based computational method designed for structural epitope mapping was utilized to compare peptides in libraries enriched for monoclonal antibody (mAb) binders to antigen surfaces (HER2 and VEGF-A). Compared to mimotopes recovered from Sanger sequencing of plated colonies from the same sorting protocol, motifs derived from sets of the NGS data improved epitope prediction as defined by sensitivity and precision, from 18% to 82% and 0.27 to 0.51 for trastuzumab and 47% to 76% and 0.19 to 0.27 for bevacizumab. Specificity was similar for Sanger and NGS, 99% and 97% for trastuzumab and 66% and 67% for bevacizumab. These results indicate that combining peptide library screening with NGS yields epitope motifs that can improve prediction of structural epitopes.

A novel conformational B-cell epitope prediction method based on mimotope and patch analysis

A B-cell epitope is a group of residues on the surface of an antigen that stimulates humoral immune responses. Identifying B-cell epitopes is important for effective vaccine design. Predicting epitopes by experimental methods is expensive in terms of time, cost and effort; therefore, computational methods that have a low cost and high speed are widely used to predict B-cell epitopes. Recently, epitope prediction based on random peptide library screening has been viewed as a promising method. Some novel software and web-based servers have been proposed that have succeeded in some test cases. Herein, we propose a novel epitope prediction method based on amino acid pairs and patch analysis. The method first divides antigen surfaces into overlapping patches based on both radius (R) and number (N), then predict epitopes based on Amino Acid Pairs (AAPs) from mimotopes and the surface patch. The proposed method yields a mean sensitivity of 0.53, specificity of 0.77, ACC of 0.75 and F-measure of 0.45 for 39 test cases. Compared with mimotope-based methods, patch-based methods and two other prediction methods, the sensitivity of the new method offers a certain improvement. Our findings demonstrate that this proposed method was successful for patch and AAPs analysis and allowed for conformational B-cell epitope prediction.

Structure-Based Peptide Mimicry of Tumor-Associated Antigens

Two major obstacles in developing cancer vaccines are identifying unique tumor-associated antigens (TAA) and overcoming the lack of structural information about TAAs. Unlike progress with T cell-based vaccines, B cell vaccines are less well developed due to discontinuous or spatially disposed B cell epitopes. Synthetic peptides that emulate B cell epitopes are nevertheless proposed to induce immune responses to TAA. Currently, such antigen-mimicking peptides are identified using informatics approaches, by screening of random peptide libraries against an isolating antibody without any regard to structural principles and by rationale design methodologies. In our own studies we have developed various peptide mimics of TAAs based on combining the structural analysis of antibody-antigen complexes with the peptide library screening process. Understanding the structural context of antigen mimicry is key, as our studies show that mimicry depends on the structural and conformational features of the combining region of antibody-antigen surface amino acids. The ability of a mimic to contact the same set of amino acids found on a template antibody dictates whether or not it is a functional antigenic mimic capable of inducing TAA cross-reactive antibodies. Presented here is an overview of our current rationale and status of structure-based tumor antigenic mimics relevant for breast cancer TAAs.

Epitope Prediction Based on Random Peptide Library Screening: Benchmark Dataset and Prediction Tools Evaluation

Epitope prediction based on random peptide library screening has become a focus as a promising method in immunoinformatics research. Some novel software and web-based servers have been proposed in recent years and have succeeded in given test cases. However, since the number of available mimotopes with the relevant structure of template-target complex is limited, a systematic evaluation of these methods is still absent. In this study, a new benchmark dataset was defined. Using this benchmark dataset and a representative dataset, five examples of the most popular epitope prediction software products which are based on random peptide library screening have been evaluated. Using the benchmark dataset, in no method did performance exceed a 0.42 precision and 0.37 sensitivity, and the MCC scores suggest that the epitope prediction results of these software programs are greater than random prediction about 0.09–0.13; while using the representative dataset, most of the values of these performance measures are slightly improved, but the overall performance is still not satisfactory. Many test cases in the benchmark dataset cannot be applied to these pieces of software due to software limitations. Moreover chances are that these software products are overfitted to the small dataset and will fail in other cases. Therefore finding the correlation between mimotopes and genuine epitope residues is still far from resolved and much larger dataset for mimotope-based epitope prediction is desirable.

Screening of random peptide library of hemagglutinin from pandemic 2009 A(H1N1) influenza virus reveals unexpected antigenically important regions.

The antigenic structure of the membrane protein hemagglutinin (HA) from the 2009 A(H1N1) influenza virus was dissected with a high-throughput screening method using complex antisera. The approach involves generating yeast cell libraries displaying a pool of random peptides of controllable lengths on the cell surface, followed by one round of fluorescence-activated cell sorting (FACS) against antisera from mouse, goat and human, respectively. The amino acid residue frequency appearing in the antigenic peptides at both the primary sequence and structural level was determined and used to identify “hot spots” or antigenically important regions. Unexpectedly, different antigenic structures were seen for different antisera. Moreover, five antigenic regions were identified, of which all but one are located in the conserved HA stem region that is responsible for membrane fusion. Our findings are corroborated by several recent studies on cross-neutralizing H1 subtype antibodies that recognize the HA stem region. The antigenic peptides identified may provide clues for creating peptide vaccines with better accessibility to memory B cells and better induction of cross-neutralizing antibodies than the whole HA protein. The scheme used in this study enables a direct mapping of the antigenic regions of viral proteins recognized by antisera, and may be useful for dissecting the antigenic structures of other viral proteins.

A high throughput method for identifying personalized tumor-associated antigens

Circulating autoantibodies against tumor-associated antigens (TAAs) and their pattern of glycosylation can be used as diagnostic indicators of cancer. Using random peptide library screening, we identified patient-specific sets of peptides recognized by colon cancer patients' serum IgG and IgM antibodies. We demonstrate a strategy for analyzing BLAST search results for identifying tumor-associated antigens represented by peptides that mimic sequential epitopes. Statistical analysis of the frequency with which the proteins are retrieved by BLAST homology searching and an estimation of the probability of a match by chance can identify the proteins that are the real targets of the immune response against tumors. In addition, we observed an over-expression of the mRNA for the match-producing protein only in the corresponding tumor sample, out of fourteen tumor and normal samples analyzed. This observation confirms that personalized tumor-associated antigens can be identified by BLAST homology search following random peptide library screening on cancer patient's serum antibodies.

Phenotypic Screening of Phylomer Peptide Libraries Derived from Genome Fragments to Identify and Validate New Targets and Therapeutics

Phenotypic screening of random peptide libraries has been hampered by very poor hit rates. This is probably due to the fact that random combinatorial peptide libraries contain an insufficiently large proportion of secondary and/or tertiary structures that are likely to interact in a stable manner with multiple classes of potential target proteins. Phylomer libraries, by contrast, are derived from sequences of genomes that have been through millions to billions of years of evolution and were therefore hypothesized to be more likely to encode appropriate structures, which have been selected to stably bind with high affinity to protein surfaces. This approach is analogous to small-molecule libraries constructed to provide a rich source of structures (often found in natural products) that are common to the pharmacophores of known drugs. Phenotypic screens of phylomer libraries show very high hit rates for bioactive peptides, suggesting that they may be a useful tool for target discovery and validation. Biophysical evidence suggests that this high activity may be due to the high proportion of affinities of unmodified peptides in the low nanomolar range. The high hit rates from phylomer libraries are sufficient to allow libraries composed of synthetic peptides to be synthesized and screened in parallel high-throughput screening formats. In addition to allowing the identification of new targets, the phylomer peptides themselves may be useful as structural probes to map epitopes of target vulnerability and as leads in therapeutic discovery.

Six Classes of Nuclear Localization Signals Specific to Different Binding Grooves of Importin α

The importin alpha/beta pathway mediates nuclear import of proteins containing the classical nuclear localization signals (NLSs). Although the consensus sequences of the classical NLSs have been defined, there are still many NLSs that do not match the consensus rule and many nonfunctional sequences that match the consensus. We report here six different NLS classes that specifically bind to distinct binding pockets of importin alpha. By screening of random peptide libraries using an mRNA display, we selected peptides bound by importin alpha and identified six classes of NLSs, including three novel classes. Two noncanonical classes (class 3 and class 4) specifically bound the minor binding pocket of importin alpha, whereas the classical monopartite NLSs (class 1 and class 2) bound to the major binding pocket. Using a newly developed universal green fluorescent protein expression system, we found that these NLS classes, including plant-specific class 5 NLSs and bipartite NLSs, fundamentally require the regions outside the core basic residues for their activity and have specific residues or patterns that confer the activities differently between yeast, plants, and mammals. Furthermore, amino acid replacement analyses revealed that the consensus basic patterns of the classical NLSs are not essential for activity, thereby generating more unconventional patterns, including redox-sensitive NLSs. These results explain the causes of the NLS diversity. The defined consensus patterns and properties of importin alpha-dependent NLSs provide useful information for identifying NLSs.

In vitro system for high-throughput screening of random peptide libraries for antimicrobial peptides that recognize bacterial membranes

Antibacterial peptides have been isolated from a wide range of species. Some of these peptides act on microbial membranes, disrupting their barrier function. With the increasing development of antibiotic resistance by bacteria, these antibacterial peptides, which have a new mode of action, have attracted interest as antibacterial agents. To date, however, few effective high-throughput approaches have been developed for designing and screening peptides that act selectively on microbial membranes. In vitro display techniques are powerful tools to select biologically functional peptides from peptide libraries. Here, we used the ribosome display system to form peptide-ribosome-mRNA complexes in vitro from nucleotides encoding a peptide library, as well as immobilized model membranes, to select specific sequences that recognize bacterial membranes. This combination of ribosome display and immobilized model membranes was effective as an in vitro high-throughput screening system and enabled us to identify motif sequences (ALR, KVL) that selectively recognized the bacterial membrane. Owing to host toxicity, it was not possible to enrich any sequence expected to show antimicrobial activity using another in vitro system, e.g. phage display. The synthetic peptides designed from these enriched motifs acted selectively on the bacterial model membrane and showed antibacterial activity. Moreover, the motif sequence conferred selectivity onto native peptides lacking selectivity, and decreased mammalian cell toxicity of native peptides without decreasing their antibacterial activity.

A GFP-based assay for the determination of hydrolytic activity and substrate specificity of subtilisins under washing conditions

The serine protease subtilisin is one of the most important industrial enzymes and is mostly used as a detergent protease. The development of new proteases with improved washing performance is limited by the tedious screening of variants on stained cloths. Here, an easy and flexible green fluorescence protein (GFP) based protease assay is described, which is performed under almost authentic washing conditions. A GFP-substrate–His-tag fusion protein is hydrolyzed by subtilisin and the activity is followed by measurement of fluorescence values from the GFP released. Two detergent proteases variants ( Bacillus lentus alkaline protease, BLAP P and BLAP X) were investigated using three model substrates (AAAAPF, AAFAAF and KHDRKD). As expected from the known substrate specificities of these proteases, AAAAPF and AAFAAF were hydrolyzed rapidly, whereas KHDRKD represents a rather stable peptide. The k cat/ K M-values determined using this GFP-based assay closely matched the values using p-nitroanilides (pNA) of model peptides. In contrast to the use of pNA-substrates, this format is not restricted to synthetically available substrates and therefore in principle allows the screening of random peptide libraries to determine the substrate specificities of subtilisins and its variants.

Cyclic peptide interleukin 5 antagonists mimic CD turn recognition epitope for receptor alpha.

The cyclic peptide AF17121 (Ac-VDECWRIIASHTWFCAEE) that inhibits interleukin 5 (IL-5) function and IL-5 receptor alpha-chain (IL-5Ralpha) binding has been derived from recombinant random peptide library screening and follow-up synthetic variation. To better understand the structural basis of its antagonist activity, AF17121 and a series of analogs of the parent peptide were prepared by solid phase peptide synthesis. Sequence variation was focused on the charged residues Asp(2), Glu(3), Arg(6), Glu(17), and Glu(18). Two of those residues, Glu(3) and Arg(6), form an EXXR motif that was found to be common among library-derived IL-5 antagonists. The E and R in the EXXR motif have a proximity similar to charged residues in a previously identified receptor alpha binding region, the beta-strand between the C- and D-helices of human IL-5. Optical biosensor interaction kinetics and cell proliferation assays were used to evaluate the antagonist activities of the purified synthetic peptides, by measuring competition with the highly active single chain IL-5. Analogs in which acidic residues (Asp(2), Glu(3), Glu(17), and Glu(18)) were replaced individually by Ala retained substantial competition activity, with multiple replacements in these residues leading to fractional loss of potency at most. In contrast, R6A analogs had strongly reduced competition activity. The results reveal that the arginine residue is crucial for the IL-5Ralpha binding of AF17121, while the acidic residues are not essential though likely complex-stabilizing particularly in the Asp(2)-Glu(3) region. By CD, AF17121 exhibited mostly disordered structure with evidence for a small beta-sheet content, and replacement of the arginine had no influence on the observed secondary structure of the peptides. The dominance of Arg(6) in AF17121 activity corresponds to previous findings of dominance of the positive charge balance in the antiparallel beta-sheet of IL-5 composed of (88)EERRR(92) in one strand of the CD turn region of IL-5 and with Arg(32) in the neighboring beta-strand. These results argue that AF17121 and related library-derived peptides function by mimicking the CD turn receptor alpha recognition epitope in IL-5 and open the way to small molecule antagonist design.

DNA display of biologically active proteins for in vitro protein selection.

In vitro display technologies are powerful tools for screening peptides with desired functions. We previously proposed a DNA display system in which streptavidin-fused peptides are linked with their encoding DNAs via biotin labels in emulsion compartments and successfully applied it to the screening of random peptide libraries. Here we describe its application to functional and folded proteins. By introducing peptide linkers between streptavidin and fused proteins, we achieved highly efficient (>95%) formation of DNA-protein conjugates. Furthermore, we successfully enriched a glutathione-S-transferase gene by a factor of 20-30-fold per round on glutathione-coupled beads. Thus, DNA display should be useful for rapidly screening or evolving proteins based on affinity selection.

Identification of peptides mimicking the ligands of proteins phosphorylated by protein kinase CK2

Synthetic peptides containing a phosphorylation site for protein kinase CK2 were used to investigate their binding properties to other peptides/proteins. The aim of this work was to find an efficient procedure to search for these peptide/protein ligands. The goal was successfully achieved through screening of random peptide libraries displayed on phage. Peptides corresponding to the amino terminal region of topoisomerase I were synthesized in both phosphorylated and unphosphorylated form and used to screen the libraries. Four of the selected sequences were also tested for their reactivity with synthetic peptides corresponding to the carboxy terminal region of the largest subunit of RNA polymerase II. The positive reaction detected supports the hypothesis that the isolated sequences may represent mimics of ligands of proteins phosphorylated by protein kinase CK2.

Enantiodivergence in small-molecule catalysis of asymmetric phosphorylation: concise total syntheses of the enantiomeric D-myo-inositol-1-phosphate and D-myo-inositol-3-phosphate.

Peptide-based catalysts have been found that catalyze the enantiodivergent phosphorylation of a meso myo-inositol-derived triol (1). The sequential screening of random peptide libraries, followed by the evaluation of a focused library, led to the identification of two peptides (2 and 24) that are complementary in producing enantiomeric D-myo-inositol-1-phosphate and D-myo-inositol-3-phosphate derivatives. The catalysts were then used to complete efficient total syntheses of both D-I-1P and D-I-3P in optically pure form. Additional information is gleaned from relative rate experiments that unambiguously show the catalysts to afford enantioselection through rate accelerative pathways with respect to simple achiral alkylimidazole catalysts. Furthermore, solvent effect studies show that the two enantiodivergent catalysts exhibit different tolerances of polar media. The systematic discovery of site-selective catalysts establishes a basis for future studies of chiral catalysts that differentiate unique functional groups in polyfunctional molecules.

Use of a modified bacteriophage to probe the interactions between peptides and ion channel receptors in mammalian cells.

Besides natural peptide ligands, screening of random peptide libraries has yielded novel bioactive peptides for cell surface receptors. A method is described that uses a modified bacteriophage as a detection reagent to monitor the expression of receptor channels in mammalian cells and to probe the molecular interaction between phage-tethered peptides (phi T-peptides) and specific receptor targets. By taking advantage of a specific multivalent interaction between phi T-peptides and the receptor target, assays have been developed that use phi T-peptides specific for the N-methyl-D-aspartate glutamate receptor, an important ligand-gated ion channel in the nervous system, to monitor the receptor expression in cultured mammalian cells. Combining these phi T-peptide binding assays with fluorescence-activated cell sorting, 10(4) random glutamate receptor mutants were screened and candidate interaction residues were identified. This dual heterologous expression system offers a powerful approach to the molecular studies of protein-protein interactions.