Bioactive peptides,networks and systems biology

Bioactive peptides are a group of diverse intercellular signalling molecules. Almost half a century of research on this topic has resulted in an enormous amount of data. In this essay, a general perspective to interpret all these data will be given. In classical endocrinology, neuropeptides were thought of as simple signalling molecules that each elicit one response. However, the fact that the total bioactive peptide signal is far from simple puts this view under pressure. Cells and tissues express many different bioactive peptides and they are also able to respond to many different bioactive peptides, indicating that multiple receptors and signal transduction pathways are present in a single cell. Therefore, the authors suggest that the bioactive peptide signalling system should be regarded in the context of network and systems biology. Bioactive peptides can best be viewed as an extension of the protein interaction network that allows regulating and fine‐tuning the metabolism of the different cells and tissues in the body. The cell thus responds to the ‘peptidome’ instead of to a single peptide. The intracellular part of this signalling network consists of the various signalling transduction cascades. Recently, new systems biology approaches have emerged for the modelling of cell signalling. The network and systems biology approach is also able to shed new light on the evolution of intercellular signalling.     

Oligoarginine vectors for intracellular delivery: design and cellular-uptake mechanisms

Intracellular delivery using membrane-permeable peptide vectors is a recently developed methodology that has been employed successfully to transport various bioactive molecules into cells to modify cell functions. The efficient delivery of proteins, peptides, nucleic acids, liposomes, and so on has been accomplished using this methodology by conjugation of a peptide vector with the cargo molecules. The potentials of this approach for medical and pharmaceutical applications has also attracted our attention. Arginine-rich peptides, including a basic peptide segment derived from the human immunodeficiency virus type 1 (HIV-1) Tat protein, are categorized into one of the most frequently used peptide vectors, and the efforts of designing novel vectors have been ongoing. Internalization of these peptides has previously been regarded as not employing endocytosis. However, recent reevaluations have demonstrated the significant involvement of endocytosis in the cellular uptake of these peptides. These arginine-rich peptide vectors share many common features in internalization. However, there seem to be certain simultaneous dissimilarities observed in the modes of internalization among these peptides. In this review, the structural features of these arginine-rich peptide vectors have been focused on and the current understandings of their internalization mechanisms are summarized.     

Antimicrobial peptides from <Emphasis Type="Italic">Phyllomedusa</Emphasis> frogs: from biomolecular diversity to potential nanotechnologic medical applications

Screening for new bioactive peptides in South American anurans has been pioneered in frogs of the genus Phyllomedusa. All frogs of this genus have venomous skin secretions, i.e., a complex mixture of bioactive peptides against potential predators and pathogens that presumably evolved in a scenario of predator–prey interaction and defense against microbial invasion. For every new anuran species studied new peptides are found, with homologies to hormones, neurotransmitters, antimicrobials, and several other peptides with unknown biological activity. From Vittorio Erspamer findings, this genus has been reported as a “treasure store” of bioactive peptides, and several groups focus their research on these species. From 1966 to 2009, more than 200 peptide sequences from different Phyllomedusa species were deposited in UniProt and other databases. During the last decade, the emergence of high-throughput molecular technologies involving de novo peptide sequencing via tandem mass spectrometry, cDNA cloning, pharmacological screening, and surface plasmon resonance applied to peptide discovery, led to fast structural data acquisition and the generation of peptide molecular libraries. Research groups on bioactive peptides in Brazil using these new technologies, accounted for the exponential increase of new molecules described in the last decade, much higher than in any previous decades. Recently, these secretions were also reported as a rich source of multiple antimicrobial peptides effective against multidrug resistant strains of bacteria, fungi, protozoa, and virus, providing instructive lessons for the development of new and more efficient nanotechnological-based therapies for infectious diseases treatment. Therefore, novel drugs arising from the identification and analysis of bioactive peptides from South American anuran biodiversity have a promising future role on nanobiotechnology.     

Industrial-scale manufacturing of pharmaceutical-grade bioactive peptides

Recent studies have shown that most peptide sequences encrypted in food proteins confer bioactive properties after release by enzymatic hydrolysis. Such bioactivities, which include antithrombotic, antihypertensive, immunomodulatory and antioxidant properties, are among the traits that are of biological significance in therapeutic products. Bioactive peptides could therefore serve as potential therapeutic agents. Moreover, research has shown that peptide therapeutics are toxicologically safe, and present less side effects when compared to small molecule drugs. However, the major conventional methods i.e. the synthetic and biotechnological methods used in the production of peptide therapeutics are relatively expensive. The lack of commercially-viable processes for large-scale production of peptide therapeutics has therefore been a major hindrance to the application of peptides as therapeutic aids. This paper therefore discusses the plausibility of manufacturing pharmaceutical-grade bioactive peptides from food proteins; the challenges and some implementable strategies for overcoming those challenges.     

Solution structure of antimicrobial peptide esculentin-1c from skin secretion of Rana esculenta

Granular glands in the skins of frogs synthesize and secrete a remarkably diverse range of peptides capable of antimicrobial activity. These anuran skin antimicrobial peptides are commonly hydrophobic, cationic and form an amphipathic α-helix in a membrane mimetic solution. Recently, they have been considered as useful target molecules for developing new antibiotics drugs. Esculentin-1c is a 46-amino acid residue peptide isolated from skin secretions of the European frog, Rana esculenta. It displays the most potent antimicrobial activity among bioactive molecules. Esculentin-1c has the longest amino acids among all antimicrobial peptides. The present study solved the solution structure of esculentin-1c in TFE/water by NMR, for the first time. We conclude that this peptide is comprised of three α-helices with each helix showing amphipathic characteristics, which seems to be a key part for permeating into bacterial membranes, thus presenting antimicrobial activity.     

Ligand profiling and identification technology for searching bioactive ligands

We introduce a new methodology named ligand profiling and identification for effective discovery of bioactive ligands such as peptide hormones. This technology was developed from a new concept of parallel column chromatography and active fraction profiling by nano-LC MS. Traditional methods use sequential column chromatography, and thus are inevitably limited by the low abundance of the peptide of interest and by a low yield due to the many column steps. Using this new technology, insulin was successfully identified and diarginylinsulin, a minor intermediate form of insulin, was unexpectedly also identified simultaneously from 100 mg of porcine pancreatic tissue. This integrative technology could be used to search for various low-abundance peptides (or bioactive molecules) rapidly and simultaneously, by applying this to the later stages of traditional sequential purification.     

The construction of a bioactive peptide database in Metazoa

Bioactive peptides play critical roles in regulating most biological processes in animals, and have considerable biological, medical and industrial importance. A number of peptides have been discovered usually based on their biological activities in vitro or based on their sequence similarities in silico. Through searches in Swiss-Prot and Trembl protein databases using BLAST alignment tools and other in silico methods, all currently known bioactive peptides and their precursor proteins are extracted. In addition, 132 recently discovered putative peptide genes in Drosophila as well as their orthologs in other species are collected. In total, 20 027 bioactive peptides from 19 438 precursor proteins covering 2820 metazoan species are retained, and they, respectively, make up a peptide and a peptide precursor database. The peptides and peptide precursor proteins are further classified into 373 families, 178 of which are represented by Prosite Pfam or Smart motifs, or by typical peptide motifs that have been constructed recently. The remaining 195 families are novel peptide families. The motifs characterizing the 178 peptide families are saved into a peptide motif database. The peptide, peptide precursor and peptide motif databases (version 1.0) are the most complete peptide, precursor and peptide motif collection in Metazoa so far. They are available on the WWW at http://www.peptides.be/.     

Design of a minimized cyclic tetrapeptide that neutralizes bacterial endotoxins.

Septic shock is a leading cause of mortality in intensive care patients, and no specific drugs are as yet available for its treatment. Therefore, new leads are required in order to increase the number of active molecules that may develop into efficacious and safe LPS-neutralizing molecules during pre-clinical stages. We used peptides, derived from the binding regions of known LPS-binding proteins, as scaffolds to introduce modifications at the amino acid level. Structure-activity relationship studies have shown that these modifications generate highly active peptides. Thus, from a bioactive peptide with an initial 16 amino acid residues, a tetrapeptide sequence was determined. After inserting this sequence in a Cys cyclic peptide, it showed the same biological activity as the parent peptide. This sequence could provide the basis for the design of small molecules with LPS-binding properties.     

Towards the Improved Discovery and Design of Functional Peptides: Common Features of Diverse Classes Permit Generalized Prediction of Bioactivity

The conventional wisdom is that certain classes of bioactive peptides have specific structural features that endow their particular functions. Accordingly, predictions of bioactivity have focused on particular subgroups, such as antimicrobial peptides. We hypothesized that bioactive peptides may share more general features, and assessed this by contrasting the predictive power of existing antimicrobial predictors as well as a novel general predictor, PeptideRanker, across different classes of peptides.We observed that existing antimicrobial predictors had reasonable predictive power to identify peptides of certain other classes i.e. toxin and venom peptides. We trained two general predictors of peptide bioactivity, one focused on short peptides (4–20 amino acids) and one focused on long peptides ( amino acids). These general predictors had performance that was typically as good as, or better than, that of specific predictors. We noted some striking differences in the features of short peptide and long peptide predictions, in particular, high scoring short peptides favour phenylalanine. This is consistent with the hypothesis that short and long peptides have different functional constraints, perhaps reflecting the difficulty for typical short peptides in supporting independent tertiary structure.We conclude that there are general shared features of bioactive peptides across different functional classes, indicating that computational prediction may accelerate the discovery of novel bioactive peptides and aid in the improved design of existing peptides, across many functional classes. An implementation of the predictive method, PeptideRanker, may be used to identify among a set of peptides those that may be more likely to be bioactive.     

In Silico Analysis of Peptide Potential Biological Functions

Over the past decade, tools of omics technologies have generated a large amount of data in various repositories, which are of interest for meta-analysis today. Now, researchers in the field of proteomics and peptidomics focus not on sequencing, but on functions performed by molecules and metabolic interactions, in which the proteins or peptides participate. As a result of a single LC-MS/MS analysis, several thousand unique peptides can be identified, each of which may be bioactive. A classic technique for determining the peptide function is a direct experiment. Bioinformatics approaches as a preliminary analysis of potential biological functions are an important step and are able to significantly reduce time and cost of experimental verification. This article provides an overview of computational methods for predicting biological functions of peptides. Approaches based on machine learning, which are the most popular today, algorithms using structural, evolutionary, or statistical patterns, as well as methods based on molecular docking, are considered. Databases of bioactive peptides are reported, providing information necessary to construct new algorithms for predicting biological functions. Attention is paid to the characteristics of peptides, on the basis of which it is possible to draw conclusions about their bioactivity. In addition, the report provides a list of online services that may be used by researchers to analyze potential activities of peptides with which they work.     

BIOACTIVE PROTEINS,PEPTIDES, AND AMINO ACIDS FROM MACROALGAE1

Macroalgae are a diverse group of marine organisms that have developed complex and unique metabolic pathways to ensure survival in highly competitive marine environments. As a result, these organisms have been targeted for mining of natural biologically active components. The exploration of marine organisms has revealed numerous bioactive compounds that are proteinaceous in nature. These include proteins, linear peptides, cyclic peptides and depsipeptides, peptide derivatives, amino acids, and amino acid–like components. Furthermore, some species of macroalgae have been shown to contain significant levels of protein. While some protein‐derived bioactive peptides have been characterized from macroalgae, macroalgal proteins currently still represent good candidate raw materials for biofunctional peptide mining. This review will provide an overview of the important bioactive amino‐acid‐containing compounds that have been identified in macroalgae. Moreover, the potential of macroalgal proteins as substrates for the generation of biofunctional peptides for utilization as functional foods to provide specific health benefits will be discussed.     

The intracellular and nuclear-targeted delivery of an antiandrogen drug by carrier peptides

Cell permeable carrier peptides are currently of interest for their potential to improve the delivery of bioactive molecules into cells and to specific cellular compartments. We have investigated the activity of a derivative of the antiandrogen drug, bicalutamide, attached to the cell-permeable carrier peptide penetratin(R). We have used both disulfide (labile) and thioether (nonlabile) linkages to attach the bicalutamide derivative to the peptide in order to assess whether one type of chemistry has advantages over the other. In addition we have added a nuclear localization sequence (NLS) to the carrier peptide to investigate whether localization of the drug to the nucleus of the cell affects the activity of the drug. Biotin-labeled peptides were used to demonstrate that the carrier peptide is rapidly accumulated inside cultured cells, and that the incorporation of an NLS in the sequence results in its nuclear targeting. The bicalutamide derivative linked to carrier peptides via a disulfide-linkage exerted no greater antiproliferative effect in LNCaP cells, than the bicalutamide derivative alone. The bicalutamide derivative linked to the carrier peptide by a non-labile thioether linkage showed a similar activity profile. When the construct includes a nuclear targeting sequence, however, a markedly increased antiproliferative effect was observed. This study has thus shown that the activity of bicalutamide may be enhanced by the nonlabile attachment of a cell-permeable and nuclear-targeted peptide, which has implications for the development of novel antiandrogens for the treatment of prostate cancer.     

Peptide design of a competitive inhibitor for HMG-CoA reductase based on statin structure

This study investigates a proposed design of a peptide sequence that is based on a bioactive conformation of statins that act as the competitive inhibitors of HMG-CoA for HMGR. To bridge these heterogeneous organic compounds, a conformational aspect relating to an analysis of the flexibility of the peptide molecules and their occupied volumes was applied to the peptide design. The design criterion was formulated in terms of a proximity parameter (Pr), reflecting the probability of an active peptide conformation to approximate the statin. Through a structure-functional analysis of previously synthesized peptides and statin molecules, nine peptides were selected for the peptide library. Comparing the calculated proximity parameters, four peptides (IAVE, YAVE, IVAE, and YVAE) from the library were selected and synthesized. In vitro assays elucidated the inhibition properties for HMGR that are exhibited by these peptides. Among all peptides, YVAE showed the highest ability to inhibit HMGR. A kinetic analysis revealed that this peptide is a competitive inhibitor of HMG-CoA with an equilibrium constant of inhibitor binding (K(i)) of 15.2 +/- 1.4 microM. The calculated coefficient correlation (R) between log (IC(50)) and the inverse value of proximity parameter (1/Pr) was found to be 0.99, indicating a high degree of correlation and efficacy of the given approach in the peptide sequence design.     

Detection of small bioactive peptides from Atlantic herring (Clupea harengus L.)

Recent research has shown that fish residual materials contain a range of components with interesting biological activity. Therefore, there is a great potential in the marine bioprocess industry to utilize these by-products as starting material for generating more valuable products. The aim of the present study was to search for bioactive peptides (in particular small natural bioactive peptides with molecular weight lower than 10 kDa) in Atlantic herring (Clupea harengus L.) by-products such as skin and more general residual materials. By such means a range of peptides with claimed interesting biological activities was found. Herein the activity of the detected bioactive peptides and strategies for isolating peptide fragments containing the bioactive motif is discussed. Identification of bioactive peptides in crude peptide/protein sources (skin and residual materials) was performed directly using a combination of mass spectrometry (Orbitrap), bioinformatics and database search. This method was a good angle of approach in order to map the potential in new species and species that have been very little studied.     

Precise structural determination of weakly binding peptides by utilizing dihedral angle constraints

Structural determination of target-bound conformations of peptides is of primary importance for the optimization of peptide ligands and peptide–mimetic design. In the structural determination of weakly binding ligands, transferred nuclear Overhauser effect (TrNOE) methods have been widely used. However, not many distance constraints can be obtained from small peptide ligands by TrNOE, especially for peptides bound to a target molecule in an extended conformation. Therefore, for precise structural determination of weakly binding peptides, additional structural constraints are required. Here, we present a strategy to systematically introduce dihedral angle constraints obtained from multiple transferred cross-correlated relaxation experiments and demonstrate precise structures of weakly binding peptides. As a result, we could determine the bioactive conformations of phage-derived peptide ligands and define their core binding motifs.     

Expression and Purification of Isotopically Enriched MHC Binding Immunogenic Peptides for NMR Studies

Peptides are important naturally occurring ligands of MHC molecules. X-ray crystallographic studies have enabled extensive characterization of such peptide ligands. Yet structural and dynamic changes of these peptides in the MHC bound state are not well understood. These conformational transitions are key to understanding the function of MHC molecules and for the development of peptide-based therapeutics. Employing NMR for such studies can fill this gap but it requires the availability of peptides labeled with NMR-active nuclei. Here we report production of nine-mer MHC-binding peptides for use in high resolution NMR studies. The method utilizes a fusion protein approach of attaching the peptide to an easily expressed bacterial protein. The fusion protein construct design allows for rapid purification of the fusion protein and avoids chemical modification of the peptide as a result of the cleavage reaction. The methods developed here allow for rapid cloning of additional MHC binding peptides without significant molecular biology effort. 8?C10 mg of mature freeze dried peptides can be obtained from 1 liter of minimal media, sufficient for NMR experimentation. Six uniformly ¹⁵N-labeled peptides have been successfully expressed in bacteria and NMR spectra with the expected number of well-resolved signals were recorded. The results obtained here will make peptide-MHC complexes amenable to structural analysis which has not been possible previously.     

Insight into antioxidant properties of milk‐derived bioactive peptides in vitro and in a cellular model

Milk is a nutritionally important source of bioactive peptides with anti‐inflammatory, immunomodulatory, anticancer, and antioxidant properties. These compounds can be useful as ingredients of functional food. For this reason, in the last decades, bioactive peptides attracted the interest of researchers and food companies. In this work, the results obtained with six milk‐derived bioactive peptides (Y‐4‐R, V‐6‐R, V‐7‐K, A‐10‐F, R‐10‐M, and H‐9‐M) synthesized and studied for their antioxidant properties in vitro and in a cellular model, are reported. These molecules correspond to peptide fragments derived from parent compounds able to cross the apical membrane of Caco‐2 cell layer and released in the basolateral compartment. In vitro, antioxidant tests such as 2,2′‐azino‐bis(3‐ethylbenzothiazoline‐6‐sulphonic acid) (ABTS) and crocin bleaching showed antioxidant activity mainly for peptides Y‐4‐R and V‐6‐R, respectively. In Caco‐2 cells, peptides V‐6‐R, H‐9‐R, Y‐4‐R, and particularly R‐10‐M and V‐7‐K are able to prevent the decrease of viability due to oxidative stress. The latter peptide is also the most effective in protecting cells from lipid peroxidation. In conclusion, the reported hydrolyzed peptides are shown to exert the antioxidant properties both in vitro and in a cellular model.     

Prospecting genomes for lasso peptides

Genome mining has unlocked a veritable treasure chest of natural compounds. However, each family of natural products requires a genome-mining approach tailored to its unique features to be successful. Lasso peptides are ribosomally synthesized and posttranslationally modified products with a unique three-dimensional structure. Advances in the understanding of these molecules have informed the design of strategies to identify new members of the class in sequenced genomes. This review presents the bioinformatic methods used to discover novel lasso peptides and describes how such analyses have afforded insights into the biosynthesis and evolution of this peptide class.     

Identification of novel peptide agonists from a random peptide library for a 5-oxo-ETE receptor, a receptor for bioactive lipids

A combinatorial peptide library contains an enormous combination of amino acid sequences and drug candidates, but an effective screening strategy to identify a variety of bioactive peptides has yet to be established. In this article, a random hexapeptide library was screened to identify novel peptide ligands for a 5-oxo-ETE receptor (OXER), which is a G-protein-coupled receptor for bioactive lipids, by using an OXER-Gi1alpha fusion protein. We successfully identified 2 hexapeptides-Ac-HMQLYF-NH2 and Ac-HMWLYF-NH(2)-that exhibited agonistic activity. Although the corresponding affinities were relatively low (EC50 values of 146 and 6.7 microM, respectively), the activities were confirmed by other independent cell-based assay methods, namely, intracellular calcium mobilization and cell chemotaxis. This study demonstrates that a combinatorial peptide library may be screened using a [35S]GTPgammaS binding assay with G-protein-coupled receptor (GPCR)-Galpha fusion proteins, in general, and that of peptide ligands can be obtained even for nonpeptide receptors.