Mapping discontinuous protein‐binding sites via structure‐based peptide libraries: combining in silico and in vitro approaches

To perform their various functions, protein surfaces often have to interact with each other in a specific way. Usually, only parts of a protein are accessible and can act as binding sites. Because proteins consist of polypeptide chains that fold into complex three‐dimensional shapes, binding sites can be divided into two different types: linear sites that follow the primary amino acid sequence and discontinuous binding sites, which are made up of short peptide fragments that are adjacent in spatial proximity. Such discontinuous binding sites dominate protein–protein interactions, but are difficult to identify. To meet this challenge, we combined a computational, structure‐based approach and an experimental, high‐throughput method. SUPERFICIAL is a program that uses protein structures as input and generates peptide libraries to represent the protein's surface. A large number of the predicted peptides can be simultaneously synthesised applying the SPOT technology. The results of a binding assay subsequently help to elucidate protein–protein interactions; the approach is applicable to any kind of protein. The crystal structure of the complex of hen egg lysozyme with the well‐characterised murine IgG1 antibody HyHEL‐5 is available, and the complex is known to have a discontinuous binding site. Using SUPERFICIAL, the entire surface of lysozyme was translated into a peptide library that was synthesised on a cellulose membrane using the SPOT technology and tested against the HyHEL‐5 antibody. In this way, it was possible to identify two peptides (longest common sequence and peptide 19) that represented the discontinuous epitope of lysozyme. Copyright © 2012 John Wiley & Sons, Ltd.     

Characterization of a high field Orbitrap mass spectrometer for proteome analysis

The field of proteomics continues to be driven by improvements in analytical technology, notably in peptide separation, quantitative MS, and informatics. In this study, we have characterized a hybrid linear ion trap high field Orbitrap mass spectrometer (Orbitrap Elite) for proteomic applications. The very high resolution available on this instrument allows 95% of all peptide masses to be measured with sub‐ppm accuracy that in turn improves protein identification by database searching. We further confirm again that mass accuracy in tandem mass spectra is a valuable parameter for improving the success of protein identification. The new CID rapid scan type of the Orbitrap Elite achieves similar performance as higher energy collision induced dissociation fragmentation and both allow the identification of hundreds of proteins from as little as 0.1 ng of protein digest on column. The new instrument outperforms its predecessor the Orbitrap Velos by a considerable margin on each metric assessed that makes it a valuable and versatile tool for MS‐based proteomics.     

SWATH enables precise label‐free quantification on proteome scale

MS‐based proteomics has emerged as a powerful tool in biological studies. The shotgun proteomics strategy, in which proteolytic peptides are analyzed in data‐dependent mode, enables a detection of the most comprehensive proteome (>10 000 proteins from whole‐cell lysate). The quantitative proteomics uses stable isotopes or label‐free method to measure relative protein abundance. The isotope labeling strategies are more precise and accurate compared to label‐free methods, but labeling procedures are complicated and expensive, and the sample number and types are also limited. Sequential window acquisition of all theoretical mass spectra (SWATH) is a recently developed technique, in which data‐independent acquisition is coupled with peptide spectral library match. In principle SWATH method is able to do label‐free quantification in an MRM‐like manner, which has higher quantification accuracy and precision. Previous data have demonstrated that SWATH can be used to quantify less complex systems, such as spiked‐in peptide mixture or protein complex. Our study first time assessed the quantification performance of SWATH method on proteome scale using a complex mouse‐cell lysate sample. In total 3600 proteins got identified and quantified without sample prefractionation. The SWATH method shows outstanding quantification precision, whereas the quantification accuracy becomes less perfect when protein abundances differ greatly. However, this inaccuracy does not prevent discovering biological correlates, because the measured signal intensities had linear relationship to the sample loading amounts; thus the SWATH method can predict precisely the significance of a protein. Our results prove that SWATH can provide precise label‐free quantification on proteome scale.     

Exploring new strategies for grafting binding peptides onto protein loops using a consensus‐designed tetratricopeptide repeat scaffold

Peptide display approaches, in which peptide epitopes of known binding activities are grafted onto stable protein scaffolds, have been developed to constrain the peptide in its bioactive conformation and to enhance its stability. However, peptide grafting can be a lengthy process requiring extensive computational modeling and/or optimisation by directed evolution techniques. In this study, we show that ultra‐stable consensus‐designed tetratricopeptide repeat (CTPR) proteins are amenable to the grafting of peptides that bind the Kelch‐like ECH‐associated protein 1 (Keap1) onto the loop between adjacent repeats. We explore simple strategies to optimize the grafting process and show that modest improvements in Keap1‐binding affinity can be obtained by changing the composition of the linker sequence flanking either side of the binding peptide.     

Improved Fmoc‐based solid‐phase synthesis of homologous peptide fragments of human and mouse prion proteins

The synthesis of difficult peptide sequences has been a challenge since the very beginning of SPPS. The self‐assembly of the growing peptide chains has been proposed as one of the causes of this synthetic problem. However, there is an increasing need to obtain peptides and proteins that are prone to aggregate. These peptides and proteins are generally associated with diseases known as amyloidoses. We present an efficient SPPS of two homologous peptide fragments of HuPrP (106–126) and MoPrP105–125 based on the use of the PEGA resin combined with proper coupling approaches. These peptide fragments were also studied by CD and TEM to determine their ability to aggregate. On the basis of these results, we support PEG‐based resins as an efficient synthetic tool to prepare peptide sequences prone to aggregate on‐resin. Copyright © 2010 European Peptide Society and John Wiley & Sons, Ltd.     

A study to assess the cross‐reactivity of cellulose membrane‐bound peptides with detection systems: an analysis at the amino acid level

The growing demand for binding assays to study protein–protein interaction can be addressed by peptide array‐based methods. The SPOT technique is a widespread peptide‐array technology, which is able to distinguish semi‐quantitatively the binding affinities of peptides to defined protein targets within one array. The quality of an assay system used for probing peptide arrays depends on the well‐balanced combination of screening and read‐out methods. The former address the steady‐state of analyte capture, whereas the latter provide the means to detect captured analyte. In all cases, however, false‐positive results can occur when challenging a peptide array with analyte or detecting captured analyte with label conjugates. Little is known about the cross‐reactivity of peptides with the detection agents. Here, we describe at the amino acid level the potential of (i) 5‐(and 6)‐carboxytetramethylrhodamine (5(6)‐TAMRA), (ii) fluoresceinisothiocyanate in form of the peptide‐bound fluorescein‐substituted thiourea derivative (FITC), and (iii) biotin/streptavidin‐POD to cross‐react with individual amino acids in a peptide sequence. Copyright © 2010 European Peptide Society and John Wiley & Sons, Ltd.     

Structures of designed armadillo repeat proteins binding to peptides fused to globular domains

Designed armadillo repeat proteins (dArmRP) are α‐helical solenoid repeat proteins with an extended peptide binding groove that were engineered to develop a generic modular technology for peptide recognition. In this context, the term “peptide” not only denotes a short unstructured chain of amino acids, but also an unstructured region of a protein, as they occur in termini, loops, or linkers between folded domains. Here we report two crystal structures of dArmRPs, in complex with peptides fused either to the N‐terminus of Green Fluorescent Protein or to the C‐terminus of a phage lambda protein D. These structures demonstrate that dArmRPs bind unfolded peptides in the intended conformation also when they constitute unstructured parts of folded proteins, which greatly expands possible applications of the dArmRP technology. Nonetheless, the structures do not fully reflect the binding behavior in solution, that is, some binding sites remain unoccupied in the crystal and even unexpected peptide residues appear to be bound. We show how these differences can be explained by restrictions of the crystal lattice or the composition of the crystallization solution. This illustrates that crystal structures have to be interpreted with caution when protein–peptide interactions are characterized, and should always be correlated with measurements in solution.     

Formation of stable nanodiscs by bihelical apolipoprotein A‐I mimetic peptide

Nanodiscs are composed of scaffold protein or peptide such as apolipoprotein A‐I (apoA‐I) and phospholipids. Although peptide‐based nanodiscs have an advantage to modulate the size of nanodiscs by changing phospholipid/peptide ratios, they are usually less stable than apoA‐I‐based nanodiscs. In this study, we designed a novel nanodisc scaffold peptide (NSP) that has proline‐punctuated bihelical amphipathic structure based on apoA‐I mimetic peptides. NSP formed α‐helical structure on 1‐palmitoyl‐2‐oleoyl phosphatidylcholine (POPC) nanodiscs prepared by cholate dialysis method. Dynamic light scattering measurements demonstrated that diameters of NSP nanodiscs vary depending upon POPC/NSP ratios. Comparison of thermal unfolding of nanodiscs monitored by circular dichroism measurements demonstrated that NSP forms much more stable nanodiscs with POPC than monohelical peptide, 4F, exhibiting comparable stability to apoA‐I‐POPC nanodiscs. Intrinsic Trp fluorescence measurements showed that Trp residues of NSP exhibit more hydrophobic environment than that of 4 F on nanodiscs, suggesting the stronger interaction of NSP with phospholipids. Thus, the bihelical structure of NSP appears to increase the stability of nanodiscs because of the enhanced interaction of peptides with phospholipids. In addition, NSP as well as 4F spontaneously solubilized POPC vesicles into nanodiscs without using detergent. These results indicate that bihelical NSP forms nanodiscs with comparable stability to apoA‐I and has an ability to control the size of nanodiscs simply by changing phospholipid/peptide ratios. Copyright © 2016 European Peptide Society and John Wiley & Sons, Ltd.     

Metabolic flux analysis using 13C peptide label measurements

¹³C metabolic flux analysis (MFA) has become the experimental method of choice to investigate the cellular metabolism of microbes, cell cultures and plant seeds. Conventional steady‐state MFA utilizes isotopic labeling measurements of amino acids obtained from protein hydrolysates. To retain spatial information in conventional steady‐state MFA, tissues or subcellular fractions must be dissected or biochemically purified. In contrast, peptides retain their identity in complex protein extracts, and may therefore be associated with a specific time of expression, tissue type and subcellular compartment. To enable ‘single‐sample’ spatially and temporally resolved steady‐state flux analysis, we investigated the suitability of peptide mass distributions (PMDs) as an alternative to amino acid label measurements. PMDs are the discrete convolution of the mass distributions of the constituent amino acids of a peptide. We investigated the requirements for the unique deconvolution of PMDs into amino acid mass distributions (AAMDs), the influence of peptide sequence length on parameter sensitivity, and how AAMD and flux estimates that are determined through deconvolution compare to estimates from a conventional GC–MS measurement‐based approach. Deconvolution of PMDs of the storage protein β–conglycinin of soybean (Glycine max) resulted in good AAMD and flux estimates if fluxes were directly fitted to PMDs. Unconstrained deconvolution resulted in inferior AAMD and flux estimates. PMD measurements do not include amino acid backbone fragments, which increase the information content in GC–MS‐derived analyses. Nonetheless, the resulting flux maps were of comparable quality due to the precision of Orbitrap quantification and the larger number of peptide measurements.     

Euclidean sections of protein conformation space and their implications in dimensionality reduction

Dimensionality reduction is widely used in searching for the intrinsic reaction coordinates for protein conformational changes. We find the dimensionality?reduction methods using the pairwise root?mean?square deviation (RMSD) as the local distance metric face a challenge. We use Isomap as an example to illustrate the problem. We believe that there is an implied assumption for the dimensionality‐reduction approaches that aim to preserve the geometric relations between the objects: both the original space and the reduced space have the same kind of geometry, such as Euclidean geometry vs. Euclidean geometry or spherical geometry vs. spherical geometry. When the protein free energy landscape is mapped onto a 2D plane or 3D space, the reduced space is Euclidean, thus the original space should also be Euclidean. For a protein with N atoms, its conformation space is a subset of the 3N‐dimensional Euclidean space R^3N. We formally define the protein conformation space as the quotient space of R^3N by the equivalence relation of rigid motions. Whether the quotient space is Euclidean or not depends on how it is parameterized. When the pairwise RMSD is employed as the local distance metric, implicit representations are used for the protein conformation space, leading to no direct correspondence to a Euclidean set. We have demonstrated that an explicit Euclidean‐based representation of protein conformation space and the local distance metric associated to it improve the quality of dimensionality reduction in the tetra‐peptide and β‐hairpin systems. Proteins 2014; 82:2585–2596. © 2014 Wiley Periodicals, Inc.     

Synthetic peptides mimicking the binding site of human acetylcholinesterase for its inhibitor fasciculin 2

Molecules capable of mimicking protein binding and/or functional sites present useful tools for a range of biomedical applications, including the inhibition of protein–ligand interactions. Such mimics of protein binding sites can currently be generated through structure‐based design and chemical synthesis. Computational protein design could be further used to optimize protein binding site mimetics through rationally designed mutations that improve intermolecular interactions or peptide stability. Here, as a model for the study, we chose an interaction between human acetylcholinesterase (hAChE) and its inhibitor fasciculin‐2 (Fas) because the structure and function of this complex is well understood. Structure‐based design of mimics of the hAChE binding site for Fas yielded a peptide that binds to Fas at micromolar concentrations. Replacement of hAChE residues known to be essential for its interaction with Fas with alanine, in this peptide, resulted in almost complete loss of binding to Fas. Computational optimization of the hAChE mimetic peptide yielded a variant with slightly improved affinity to Fas, indicating that more rounds of computational optimization will be required to obtain peptide variants with greatly improved affinity for Fas. CD spectra in the absence and presence of Fas point to conformational changes in the peptide upon binding to Fas. Furthermore, binding of the optimized hAChE mimetic peptide to Fas could be inhibited by hAChE, providing evidence for a hAChE‐specific peptide–Fas interaction. Copyright © 2015 European Peptide Society and John Wiley & Sons, Ltd.     

A rapid flow cytometry assay for the relative quantification of protein encapsulation into bacterial microcompartments

Bacterial microcompartments (MCPs) are protein‐based organelles that have been suggested as scaffolds for creating in vivo nanobioreactors. One of the key steps towards engineering MCPs is to understand and maximize the encapsulation of enzymes into the lumen of the MCP. However, there are currently no high‐throughput methods for investigating protein encapsulation. Here, we describe the development of a rapid in vivo assay for quantifying the relative amount of protein encapsulated within MCPs based on fluorescence. In this assay, we fuse a degradation peptide to a MCP‐targeted fluorescence reporter and use flow cytometry to measure overall fluorescence from the encapsulated, protected reporter protein. Using this assay, we characterized various MCP‐targeting signal sequence mutants for their ability to encapsulate proteins and identified mutants that encapsulate a greater amount of protein than the wild type signal sequence. This assay is a powerful tool for reporting protein encapsulation and is an important step towards encapsulating metabolic enzymes into MCPs for synthetic biochemical pathways.     

GOAT – A simple LC‐MS/MS gradient optimization tool

Modern nano‐HPLC systems are capable of extremely precise control of solvent gradients, allowing high‐resolution separation of peptides. Most proteomics laboratories use a simple linear analytical gradient for nano‐LC‐MS/MS experiments, though recent evidence indicates that optimized non‐linear gradients result in increased peptide and protein identifications from cell lysates. In concurrent work, we examined non‐linear gradients for the analysis of samples fractionated at the peptide level, where the distribution of peptide retention times often varies by fraction. We hypothesized that greater coverage of these samples could be achieved using per‐fraction optimized gradients. We demonstrate that the optimized gradients improve the distribution of peptides throughout the analysis. Using previous generation MS instrumentation, a considerable gain in peptide and protein identifications can be realized. With current MS platforms that have faster electronics and achieve shorter duty cycle, the improvement in identifications is smaller. Our gradient optimization method has been implemented in a simple graphical tool (GOAT) that is MS‐vendor independent, does not require peptide ID input, and is freely available for non‐commercial use at http://proteomics.swmed.edu/goat/     

Vaccine for human contraception targeting sperm Izumo protein and YLP12 dodecamer peptide

There is an urgent need to develop a better method of contraception which is non‐steroidal and reversible to control world population explosion and unintended pregnancies. Contraceptive vaccines (CV), especially targeting sperm‐specific proteins, can provide an ideal contraceptive modality. Sperm‐specific proteins can induce an immune response in women as well as men, thus can be used for CV development in both sexes. In this article, we will review two sperm‐specific proteins, namely Izumo protein and YLP₁₂ dodecamer peptide. Gene‐knockout studies indicate that Izumo protein is essential for sperm–egg membrane fusion. Vaccination with Izumo protein or its cDNA causes a significant reduction in fertility of female mice. The antibodies to human Izumo inhibit human sperm penetration assay. Recently, our laboratory found that a significant percentage of infertile women have antibodies to Izumo protein. The second sperm‐specific protein is YLP₁₂, a peptide mimetic sequence present on human sperm involved in recognition and binding to the human oocyte zona pellucida. Vaccination with YLP₁₂ or its cDNA causes long‐term, reversible contraception, without side effects, in female mice. Infertile, but not fertile, men and women have antibodies to YLP₁₂ peptide. Our laboratory has isolated, cloned, and sequenced cDNA encoding human single chain variable fragment (scFv) antibody from infertile men which reacts with YLP₁₂ peptide. The human YLP₁₂ scFv antibody may provide a novel passive immunocontraceptive, the first of its kind. In conclusion, sperm‐specific Izumo protein and YLP₁₂ peptide can provide exciting candidates for antisperm CV development.     

Application of biasing‐potential replica‐exchange simulations for loop modeling and refinement of proteins in explicit solvent

Comparative or homology modeling of a target protein based on sequence similarity to a protein with known structure is widely used to provide structural models of proteins. Depending on the target‐template similarity these model structures may contain regions of limited structural accuracy. In principle, molecular dynamics (MD) simulations can be used to refine protein model structures and also to model loop regions that connect structurally conserved regions but it is limited by the currently accessible simulation time scales. A recently developed biasing potential replica exchange (BP‐REMD) method was used to refine loops and complete decoy protein structures at atomic resolution including explicit solvent. In standard REMD simulations several replicas of a system are run in parallel at different temperatures allowing exchanges at preset time intervals. In a BP‐REMD simulation replicas are controlled by various levels of a biasing potential to reduce the energy barriers associated with peptide backbone dihedral transitions. The method requires much fewer replicas for efficient sampling compared with T‐REMD. Application of the approach to several protein loops indicated improved conformational sampling of backbone dihedral angle of loop residues compared to conventional MD simulations. BP‐REMD refinement simulations on several test cases starting from decoy structures deviating significantly from the native structure resulted in final structures in much closer agreement with experiment compared to conventional MD simulations. Proteins 2010. © 2010 Wiley‐Liss, Inc.     

Comparative analysis reveals amino acids critical for anticancer activity of peptide CIGB‐552

Because of resistance development by cancer cells against current anticancer drugs, there is a considerable interest in developing novel antitumor agents. We have previously demonstrated that CIGB‐552, a novel cell‐penetrating synthetic peptide, was effective in reducing tumor size and increasing lifespan in tumor‐bearing mice. Studies of protein–peptide interactions have shown that COMMD1 protein is a major mediator of CIGB‐552 antitumor activity. Furthermore, a typical serine‐protease degradation pattern for CIGB‐552 in BALB/c mice serum was identified, yielding peptides which differ from CIGB‐552 in size and physical properties. In the present study, we show the results obtained from a comparative analysis between CIGB‐552 and its main metabolites regarding physicochemical properties, cellular internalization, and their capability to elicit apoptosis in MCF‐7 cells. None of the analyzed metabolites proved to be as effective as CIGB‐552 in promoting apoptosis in MCF‐7. Taking into account these results, it seemed important to examine their cell‐penetrating capacity and interaction with COMMD1. We show that internalization, a lipid binding‐dependent process, is impaired as well as metabolite–COMMD1 interaction, key component of the apoptotic mechanism. Altogether, our results suggest that features conferred by the amino acid sequence are decisive for CIGB‐552 biological activity, turning it into the minimal functional unit. Copyright © 2016 European Peptide Society and John Wiley & Sons, Ltd.     

Bioengineering nisin to overcome the nisin resistance protein

The emergence and dissemination of antibiotic resistant bacteria is a major medical challenge. Lantibiotics are highly modified bacterially produced antimicrobial peptides that have attracted considerable interest as alternatives or adjuncts to existing antibiotics. Nisin, the most widely studied and commercially exploited lantibiotic, exhibits high efficacy against many pathogens. However, some clinically relevant bacteria express highly specific membrane‐associated nisin resistance proteins. One notable example is the nisin resistance protein that acts by cleaving the peptide bond between ring E and the adjacent serine 29, resulting in a truncated peptide with significantly less activity. We utilised a complete bank of bioengineered nisin (nisin A) producers in which the serine 29 residue has been replaced with every alternative amino acid. The nisin A S29P derivative was found to be as active as nisin A against a variety of bacterial targets but, crucially, exhibited a 20‐fold increase in specific activity against a strain expressing the nisin resistance protein. Another derivative, nisin PV, exhibited similar properties but was much less prone to oxidation. This version of nisin with enhanced resistance to specific resistance mechanisms could prove useful in the fight against antibiotic resistant pathogens.     

Sub‐angstrom modeling of complexes between flexible peptides and globular proteins

A wide range of regulatory processes in the cell are mediated by flexible peptides that fold upon binding to globular proteins. Computational efforts to model these interactions are hindered by the large number of rotatable bonds in flexible peptides relative to typical ligand molecules, and the fact that different peptides assume different backbone conformations within the same binding site. In this study, we present Rosetta FlexPepDock, a novel tool for refining coarse peptide–protein models that allows significant changes in both peptide backbone and side chains. We obtain high resolution models, often of sub‐angstrom backbone quality, over an extensive and general benchmark that is based on a large nonredundant dataset of 89 peptide–protein interactions. Importantly, side chains of known binding motifs are modeled particularly well, typically with atomic accuracy. In addition, our protocol has improved modeling quality for the important application of cross docking to PDZ domains. We anticipate that the ability to create high resolution models for a wide range of peptide–protein complexes will have significant impact on structure‐based functional characterization, controlled manipulation of peptide interactions, and on peptide‐based drug design. Proteins 2010. © 2010 Wiley‐Liss, Inc.     

Flying blind,or just flying under the radar? The underappreciated power of de novo methods of mass spectrometric peptide identification

Mass spectrometry‐based proteomics is a popular and powerful method for precise and highly multiplexed protein identification. The most common method of analyzing untargeted proteomics data is called database searching, where the database is simply a collection of protein sequences from the target organism, derived from genome sequencing. Experimental peptide tandem mass spectra are compared to simplified models of theoretical spectra calculated from the translated genomic sequences. However, in several interesting application areas, such as forensics, archaeology, venomics, and others, a genome sequence may not be available, or the correct genome sequence to use is not known. In these cases, de novo peptide identification can play an important role. De novo methods infer peptide sequence directly from the tandem mass spectrum without reference to a sequence database, usually using graph‐based or machine learning algorithms. In this review, we provide a basic overview of de novo peptide identification methods and applications, briefly covering de novo algorithms and tools, and focusing in more depth on recent applications from venomics, metaproteomics, forensics, and characterization of antibody drugs.     

Characterization of continuous B‐cell epitopes in the N‐terminus of glutamate decarboxylase67 using monoclonal antibodies

Glutamate decarboxylase (GAD) is an autoantigen associated with the autoimmune disorders Type‐1 diabetes (T1D) and stiff‐person syndrome (SPS). The protein, being an essential enzyme involved in the production of the inhibitory neurotransmitter γ‐aminobutyric acid, exists in two isoforms, GAD67 and GAD65. Both isoforms may be targeted by autoantibodies in SPS and T1D patients, although SPS primarily is associated with the presence of GAD67 autoantibodies, whereas T1D mainly is associated with the presence of GAD65 autoantibodies. In this study, we describe antibody reactivity to overlapping GAD67 peptides covering the complete protein sequence by modified peptide enzyme‐linked immunosorbent assay in order to identify potential GAD67 epitopes using two monoclonal antibodies (mAbs). Both GAD67 mAbs showed reactivity to linear epitopes located at the N‐terminal end of GAD67. The epitopes of GAD mAb 1 and 2 were identified as the amino acid sequences NAGADPNTTN and TETDFSNLF, respectively, corresponding to amino acids 14–23 and 91–99. Fine mapping of the epitopes revealed that antibody reactivity was related to amino acid side‐chain functionality, rather than amino acid side‐chain specificity. Additionally, results suggested that non‐contact amino acids in the epitope structure were essential for antibody reactivity. The exact role of these amino acids remains to be determined, but they are thought to be involved in backbone hydrogen bonds or stabilization of the epitope structure. As only limited knowledge is available in relation to antigenic regions of GAD67, this study contributes to characterization of GAD67 epitopes and may be a first step in the development of peptide‐based therapeutics against SPS. Copyright © 2014 European Peptide Society and John Wiley & Sons, Ltd.