Peptide-based Therapeutics Research Articles

Peptide-based immunotherapy in lupus: Where are we now?

In autoimmune rheumatic diseases, immune hyperactivity and chronic inflammation associate with immune dysregulation and the breakdown of immune self-tolerance. A continued, unresolved imbalance between effector and regulatory immune responses further exacerbates inflammation that ultimately causes tissue and organ damage. Many treatment modalities have been developed to restore the immune tolerance and immmunoregulatory balance in autoimmune rheumatic diseases, including the use of peptide-based therapeutics or the use of nanoparticles-based nanotechnology. This review summarizes the state-of-the-art therapeutic use of peptide-based therapies in autoimmune rheumatic diseases, with a specific focus on lupus.

Genetically encoded discovery of perfluoroaryl macrocycles that bind to albumin and exhibit extended circulation in vivo

Peptide-based therapeutics have gained attention as promising therapeutic modalities, however, their prevalent drawback is poor circulation half-life in vivo. In this paper, we report the selection of albumin-binding macrocyclic peptides from genetically encoded libraries of peptides modified by perfluoroaryl-cysteine SNAr chemistry, with decafluoro-diphenylsulfone (DFS). Testing of the binding of the selected peptides to albumin identified SICRFFC as the lead sequence. We replaced DFS with isosteric pentafluorophenyl sulfide (PFS) and the PFS-SICRFFCGG exhibited KD = 4–6 µM towards human serum albumin. When injected in mice, the concentration of the PFS-SICRFFCGG in plasma was indistinguishable from the reference peptide, SA-21. More importantly, a conjugate of PFS-SICRFFCGG and peptide apelin-17 analogue (N3-PEG6-NMe17A2) showed retention in circulation similar to SA-21; in contrast, apelin-17 analogue was cleared from the circulation after 2 min. The PFS-SICRFFC is the smallest known peptide macrocycle with a significant affinity for human albumin and substantial in vivo circulation half-life. It is a productive starting point for future development of compact macrocycles with extended half-life in vivo.

Antimicrobial Peptides: The Production of Novel Peptide-Based Therapeutics in Plant Systems.

The increased prevalence of antibiotic resistance is alarming and has a significant impact on the economies of emerging and underdeveloped nations. The redundancy of antibiotic discovery platforms (ADPs) and injudicious use of conventional antibiotics has severely impacted millions, across the globe. Potent antimicrobials from biological sources have been extensively explored as a ray of hope to counter the growing menace of antibiotic resistance in the population. Antimicrobial peptides (AMPs) are gaining momentum as powerful antimicrobial therapies to combat drug-resistant bacterial strains. The tremendous therapeutic potential of natural and synthesized AMPs as novel and potent antimicrobials is highlighted by their unique mode of action, as exemplified by multiple research initiatives. Recent advances and developments in antimicrobial discovery and research have increased our understanding of the structure, characteristics, and function of AMPs; nevertheless, knowledge gaps still need to be addressed before these therapeutic options can be fully exploited. This thematic article provides a comprehensive insight into the potential of AMPs as potent arsenals to counter drug-resistant pathogens, a historical overview and recent advances, and their efficient production in plants, defining novel upcoming trends in drug discovery and research. The advances in synthetic biology and plant-based expression systems for AMP production have defined new paradigms in the efficient production of potent antimicrobials in plant systems, a prospective approach to countering drug-resistant pathogens.

Advances in screening, synthesis, modification, and biomedical applications of peptides and peptide aptamers.

Peptides and peptide aptamers have emerged as promising molecules for a wide range of biomedical applications due to their unique properties and versatile functionalities. The screening strategies for identifying peptides and peptide aptamers with desired properties are discussed, including high-throughput screening, display screening technology, and in silico design approaches. The synthesis methods for the efficient production of peptides and peptide aptamers, such as solid-phase peptide synthesis and biosynthesis technology, are described, along with their advantages and limitations. Moreover, various modification techniques are explored to enhance the stability, specificity, and pharmacokinetic properties of peptides and peptide aptamers. This includes chemical modifications, enzymatic modifications, biomodifications, genetic engineering modifications, and physical modifications. Furthermore, the review highlights the diverse biomedical applications of peptides and peptide aptamers, including targeted drug delivery, diagnostics, and therapeutic. This review provides valuable insights into the advancements in screening, synthesis, modification, and biomedical applications of peptides and peptide aptamers. A comprehensive understanding of these aspects will aid researchers in the development of novel peptide-based therapeutics and diagnostic tools for various biomedical challenges.

Computational analysis of spike protein of SARS-CoV-2 (Omicron variant) for development of peptide-based therapeutics and diagnostics

In the last few years, the worldwide population has suffered from the SARS-CoV-2 pandemic. The WHO dashboard indicated that around 504,079,039 people were infected and 6,204,155 died from COVID-19 caused by different variants of SARS-CoV-2. Recently, a new variant of SARS-CoV-2 (B.1.1.529) was reported by South Africa known as Omicron. The high transmissibility rate and resistance towards available anti-SARS-CoV-2 drugs/vaccines/monoclonal antibodies, make Omicron a variant of concern. Because of various mutations in spike protein, available diagnostic and therapeutic treatments are not reliable. Therefore, the present study explored the development of some therapeutic peptides that can inhibit the SARS-CoV-2 virus interaction with host ACE2 receptors and can also be used for diagnostic purposes. The screened linear B cell epitopes derived from receptor-binding domain of spike protein of Omicron variant were evaluated as peptide inhibitor/vaccine candidates through different bioinformatics tools including molecular docking and simulation to analyze the interaction between Omicron peptide and human ACE2 receptor. Overall, in-silico studies revealed that Omicron peptides OP1-P12, OP14, OP20, OP23, OP24, OP25, OP26, OP27, OP28, OP29, and OP30 have the potential to inhibit Omicron interaction with ACE2 receptor. Moreover, Omicron peptides OP20, OP22, OP23, OP24, OP25, OP26, OP27, and OP30 have shown potential antigenic and immunogenic properties that can be used in design and development vaccines against Omicron. Although the in-silico validation was performed by comparative analysis with the control peptide inhibitor, further validation through wet lab experimentation is required before its use as therapeutic peptides. Communicated by Ramaswamy H. Sarma

Stability Characterization of the Novel Anti-Cancer HM-10/10 HDL-Mimetic Peptide.

Epithelial adenocarcinoma of the ovary and colon are associated with the highest rates of cancer-related deaths in women in the U.S. The literature supports the role of HDL-associated apolipoproteins in the treatment of cancer and other pro-inflammatory diseases. Previously, we developed a novel 20-amino acid mimetic peptide, HM-10/10, which potently inhibits tumor development and growth in colon and ovarian cancer. Here, we report the properties of HM-10/10 relative to its stability in vitro. The results demonstrated that HM-10/10 had the highest half-life in human plasma compared to plasma from other species tested. HM-10/10 demonstrated stability in human plasma and simulated gastric environment, increasing its promise as an oral pharmaceutical. However, under conditions modeling the small intestine, HM-10/10 demonstrated significant degradation, likely due to the peptidases encountered therein. Furthermore, HM-10/10 demonstrated no evidence of time-dependent drug-drug interactions, although it demonstrated CYP450 induction slightly above cutoff. As proteolytic degradation is a common limitation of peptide-based therapeutics, we are pursuing strategies to improve the stability properties of HM-10/10 by extending its bioavailability while retaining its low toxicity profile. HM-10/10 holds promise as a new agent to address the international women's health crisis of epithelial carcinomas of the ovary and colon.

Strategic Approaches to Improvise Peptide Drugs as Next Generation Therapeutics.

In recent years, the occurrence of a wide variety of drug-resistant diseases has led to an increase in interest in alternate therapies. Peptide-based drugs as an alternate therapy hold researchers’ attention in various therapeutic fields such as neurology, dermatology, oncology, metabolic diseases, etc. Previously, they had been overlooked by pharmaceutical companies due to certain limitations such as proteolytic degradation, poor membrane permeability, low oral bioavailability, shorter half-life, and poor target specificity. Over the last two decades, these limitations have been countered by introducing various modification strategies such as backbone and side-chain modifications, amino acid substitution, etc. which improve their functionality. This has led to a substantial interest of researchers and pharmaceutical companies, moving the next generation of these therapeutics from fundamental research to the market. Various chemical and computational approaches are aiding the production of more stable and long-lasting peptides guiding the formulation of novel and advanced therapeutic agents. However, there is not a single article that talks about various peptide design approaches i.e., in-silico and in-vitro along with their applications and strategies to improve their efficacy. In this review, we try to bring different aspects of peptide-based therapeutics under one article with a clear focus to cover the missing links in the literature. This review draws emphasis on various in-silico approaches and modification-based peptide design strategies. It also highlights the recent progress made in peptide delivery methods important for their enhanced clinical efficacy. The article would provide a bird’s-eye view to researchers aiming to develop peptides with therapeutic applications.

Choline chloride:glycerol deep eutectic solvents assist in the permeation of daptomycin across Caco-2 cells mimicking intestinal bilayer

Daptomycin is a cyclic lipopeptide antibiotic used for complicated skin infections and right-sided endocarditis. The oral absorption of daptomycin is limited because of its restricted permeability across the intestinal epithelium, low lipophilicity, low bioavailability due to enzymatic degradation and high molecular weight. This study investigates the enhancement in intestinal absorption of daptomycin using a new class of permeation enhancers. Caco-2 cell-based model, mimicking the intestinal bilayer, was used as an in-vitro mucosal barrier to examine the diffusion of daptomycin. The study explored the potential of deep eutectic solvents (DESs) as oral permeation enhancers, in comparison with sodium caprate, a well-known intestinal permeation enhancer. Safe and non-toxic concentrations of DESs were determined using an MTT assay. Accordingly, a safe and effective concentration range was employed for enhancing the permeation of daptomycin. Diffusion studies performed using RP-HPLC indicated an increase in permeation of daptomycin in the presence of sodium caprate and DESs. Confocal microscopy enabled elucidation of the mechanism of permeation enhancement via reduced expression of cell junction proteins. Both, sodium caprate and DESs lowered the expression of ZO-1 protein, due to the loosening of tight junctions between Caco-2 cells and thus enhanced permeation of daptomycin. Therefore, DESs can be used as safe and effective permeation enhancers for daptomycin and explored for other oral peptide-based therapeutics .

Use of ultrafiltration/diafiltration for the processing of antisense oligonucleotides.

Ultrafiltration/diafiltration (UF/DF) has been the hallmark for concentrating and buffer exchange of protein and peptide-based therapeutics for years. Here we examine the capabilities and limitations of UF/DF membranes to process oligonucleotides using antisense oligonucleotides (ASOs) as a model. Using a 3 kDa UF/DF membrane, oligonucleotides as small as 6 kDa are shown to have low sieving coefficients (<0.008) and thus can be concentrated to high concentrations (≤200 mg/mL) with high yield (≥95%) and low viscosity (<15 centipoise), provided the oligonucleotide is designed not to undergo self-hybridization. In general, the oligonucleotide should be at least twice the reported membrane molecular weight cutoff for robust retention. Regarding diafiltration, results show that a small amount of salt is necessary to maintain adequate flux at concentrations exceeding about 40 mg/mL. Removal of salts along with residual solvents and small molecule process-related impurities can be robust provided they are not positively charged as the interaction with the oligonucleotide can prevent passage through the membrane, even for common divalent cations such as calcium or magnesium. Overall, UF/DF is a valuable tool to utilize in oligonucleotide processing, especially as a final drug substance formulation step that enables a liquid active pharmaceutical ingredient.

Dock-able linear and homodetic di, tri, tetra and pentapeptide library from canonical amino acids: SARS-CoV-2 Mpro as a case study

Peptide-based therapeutics are increasingly pushing to the forefront of biomedicine with their promise of high specificity and low toxicity. Although noncanonical residues can always be used, employing only the natural 20 residues restricts the chemical space to a finite dimension allowing for comprehensive in silico screening. Towards this goal, the dataset comprising all possible di-, tri-, and tetra-peptide combinations of the canonical residues has been previously reported. However, with increasing computational power, the comprehensive set of pentapeptides is now also feasible for screening as the comprehensive set of cyclic peptides comprising four or five residues. Here, we provide both the complete and prefiltered libraries of all di-, tri-, tetra-, and penta-peptide sequences from 20 canonical amino acids and their homodetic (N-to-C-terminal) cyclic homologues. The FASTA, simplified molecular-input line-entry system (SMILES), and structure-data file (SDF)-three dimension (3D) libraries can be readily used for screening against protein targets. We also provide a simple method and tool for conducting identity-based filtering. Access to this dataset will accelerate small peptide screening workflows and encourage their use in drug discovery campaigns. As a case study, the developed library was screened against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) main protease to identify potential small peptide inhibitors.

Discerning Modulation of α-Synuclein Amyloid Assembly by α-Crystallin

Altered protein folding leading to the formation of structured aggregates such as amyloid fibrils has gained significant attention due to its association with neurodegenerative diseases. α-Synuclein, a small intrinsically disordered protein, gets transformed into amyloid fibrils under unfavorable conditions and contributes to the progression and pathology of Parkinson's disease (PD). Under normal physiological conditions, amyloid formation is controlled by many chaperones and chaperone-like proteins. However, with aging, the protein homeostasis machinery becomes less efficient, causing the loss of proper functioning of chaperones and leading to aberrant protein folding and amyloid formation. Here, we provide in-depth information on the modulation of α-synuclein amyloid assembly by a heterogeneous complex of bovine eye lens protein, α-crystallin, which is known to possess chaperone-like activity. We have used a multiparametric approach to discern the critical events through which α-crystallin abolishes α-synuclein amyloid formation. Our biochemical and biophysical data analysis revealed that α-crystallin, at substoichiometric ratios, alleviates α-synuclein amyloid assembly and drives it into soluble dead-end intermediates. We also demonstrated that α-crystallin was equally efficient in arresting amyloid assembly by some of the PD-related mutants suggesting the significance of chaperone-like activity of α-crystallin under pathological conditions. Finally, we validated our results using human crystallin derived from cataract patients. Based on our findings, we propose that the interaction of α-crystallin directs α-synuclein into a soluble amyloid-incompetent form. Our results suggest that the generic antiamyloid property of chaperone-like proteins, such as α-crystallin, can be harnessed to design protein and peptide-based novel therapeutics for prevention and treatment of deadly neurodegenerative diseases.

Peptide RL-QN15 promotes regeneration of epidermal nerve fibers and recovery of sensory function in diabetic skin wounds.

Epidermal nerve fiber regeneration and sensory function are severely impaired in skin wounds of diabetic patients. To date, however, research on post-traumatic nerve regeneration and sensory reconstruction remains scarce, and effective clinical therapeutics are lacking. In the current study, localized treatment with RL-QN15, considered as a drug candidate for intervention in skin wounds in our previous research, accelerated the healing of full-thickness dorsal skin wounds in diabetic mice and footpad skin wounds in diabetic rats. Interestingly, nerve density and axonal plasticity in the skin wounds of diabetic rats and mice, as well as plantar sensitivity in diabetic rats, were markedly enhanced by RL-QN15 treatment. Furthermore, RL-QN15 promoted the proliferation, migration, and axonal length of neuron-like PC12 cells, which was likely associated with activation of the phosphatidylinositol-3 kinase/protein kinase B (PI3K/Akt) signaling pathway. The therapeutic effects of RL-QN15 were partially reduced by blocking the PI3K/Akt signaling pathway with the inhibitor LY294002. Thus, RL-QN15 showed positive therapeutic effects on the distribution of epidermal nerve fibers and stimulated the recovery of sensory function after cutaneous injury. This study lays a solid foundation for the development of RL-QN15 peptide-based therapeutics against diabetic skin wounds.

High-throughput infrared spectroscopy for quantification of peptides in drug discovery

Peptides have gained an increasing importance in drug discovery as potential therapeutics. Discovery efforts toward finding new, efficacious peptide-based therapeutics have increased the throughput of peptide development, allowing the rapid generation of unique and pure peptide samples. However, high-throughput analysis of peptides may be still challenging and can encumber a high-throughput drug discovery campaign. We report herein a fit-for-purpose method to quantify peptide concentrations using high-throughput infrared spectroscopy (HT-IR). Through the development of this method, multiple critical method parameters were optimized including solvent composition, droplet deposition size, plate drying procedures, sample concentration, and internal standard. The relative absorbance of the amide region (1600–1750 cm-1) to the internal standard, K3Fe(CN)6 (2140 cm-1), was determined to be most effective at providing lowest interference for measuring peptide concentration. The best sample deposition was achieved by dissolving samples in a 50:50 v/v allyl alcohol/water mixture. The developed method was used on 96-well plates and analyzed at a rate of 22 min per plate. Calibration curves to measure sample concentration versus response relationship displayed sufficient linearity (R2 > 0.95). The repeatability and scope of detection was demonstrated with eighteen peptide samples that were measured with most values below 20% relative standard deviation. The linear dynamic range of the method was determined to be between 1 and 5 mg/mL. This developed HT-IR methodology could be a useful tool in peptide drug candidate lead identification and optimization processes.

In silico peptide-based therapeutics against human colorectal cancer by the activation of TLR5 signaling pathways.

Colorectal cancer (CRC) is the third leading cause of cancer-related deaths in both men and women. Toll-like receptor 5 (TLR5), an autoimmune signaling receptor that plays a role in cancer, can be exploited for the suppression of human colon cancer. Salmonella flagellin protein, a novel agonist of TLR5 activating downstream signaling, could be a basis for designing anticancer peptides. The three-dimensional crystal structure of TLR5 (PDB ID: 3J0A, Resolution = 26.0 Å) was optimized using the AMBER force field in the YASARA suit. In silico enzymatic digestion tool, PeptideCutter, was used to identify peptides from Salmonella flagellin, an agonist against human TLR5. The 3D structure of the peptides was generated using PEP-FOLD3. These peptides were screened against human TLR5 using shape complementarity principles based on the binding affinity and interactions with the active residue of TLR5 monomer, and the selected peptides were further validated by molecular dynamic (MD) simulation. In this study, we generated 42 peptides from Salmonella flagellin protein by in silico protein digestion. Then, based on a new hidden Markov model sub-optimal conformation sampling approach as well as the size of the fragments, we select 38 effective peptides from these 42 cleavages. These peptides were screened against the monomeric Xray structure of human TLR5 using shape complementarity principles. Based on the binding affinity and interactions with the active residue of TLR5 monomer (residues 294 and 366 of TLR5), nine top-scored peptides were selected for the initial molecular dynamic (MD) simulation. Among these peptides, Clv10, Clv17, and Clv28 showed high stability and less flexibility during MD simulation. A 1 μs MD simulation was performed on TLR5-Clv10, TLR-Clv17, and TLR5-Clv28 complexes to further analyze the stability, conformational changes, and binding mode (Clv10, Clv17, and Clv28). During this MD study, the peptides showed high salt bridges and ionic interactions with residue ASP294 and residue ASP366 throughout the simulation and remained in the concave of the human TLR5 monomer. The RMSD and Rg values showed that the peptide-protein complexes become stable after 200 ns of contraction and extraction. These findings can facilitate the rational design of selected peptides as an agonist of TLR5, which have antitumor activity, suppress colorectal cancer tumors, and can be used as promising candidates and novel agonists of TLR5.

In silico study of the proteins involved in the persistence of Brucella spp.

One of the major problems with Brucella infections is its tendency to become chronic and recurrent, providing a hindrance to the management of this infection. It has been proposed that chronicity is so much affected by a phenomenon called persistence in bacteria. Several mechanisms are involved in bacterial persistence, including the type II toxin-antitoxin system, the SOS, Oxidative , and stringent response. In this in silico study, these persistence mechanisms in Brucella spp. were investigated. the structure and the interactions between modules involved in these systems were designed, and novel peptides that can interfere with some of these important mechanisms were developed. Since peptide-based therapeutics are a new and evolving field due to their ease of production, we hope that peptides developed in this study, as well as the information about the structure and interactions of modules of persistence mechanisms, can further be used to design drugs against Brucella persister cells in the hope of restraining the chronic nature of Brucellosis.

Selection and evolution of disulfide-rich peptides via cellular protein quality control.

Disulfide-rich peptides (DRPs) are an interesting and promising molecular format for drug discovery and development. However, the engineering and application of DRPs rely on the foldability of the peptides into specific structures with correct disulfide pairing, which strongly hinders the development of designed DRPs with randomly encoded sequences. Design or discovery of new DRPs with robust foldability would provide valuable scaffolds for developing peptide-based probes or therapeutics. Herein we report a cell-based selection system leveraging cellular protein quality control (termed PQC-select) to select DRPs with robust foldability from random sequences. By correlating the foldability of DRPs with their expression levels on the cell surface, thousands of sequences that can fold properly have been successfully identified. We anticipated that PQC-select will be applicable to many other designed DRP scaffolds in which the disulfide frameworks and/or the disulfide-directing motifs can be varied, enabling the generation of a variety of foldable DRPs with new structures and superior potential for further developments.

Large scale peptide screening against main protease of SARS CoV-2.

The COVID-19 pandemic has been a public health emergency, with deadly forms constantly emerging around the world, highlighting the dire need for highly effective antiviral therapeutics. Peptide therapeutics show significant potential for this viral disease due to their efficiency, safety, and specificity. Here, two thousand seven hundred eight antibacterial peptides were screened computationally targeting the Main protease (Mpro) of SARS CoV-2. Six top-ranked peptides according to their binding scores, binding pose were investigated by molecular dynamics to explore the interaction and binding behavior of peptide-Mpro complexes. The structural and energetic characteristics of Mpro-DRAMP01760 and Mpro-DRAMP01808 complexes fluctuated less during a 250 ns MD simulation. In addition, three peptides (DRAMP01760, DRAMP01808, and DRAMP01342) bind strongly to Mpro protein, according to the free energy landscape and principal component analysis. Peptide helicity and secondary structure analysis are in agreement with our findings. Interaction analysis of protein-peptide complexes demonstrated that Mpro's residue CYS145, HIS41, PRO168, GLU166, GLN189, ASN142, MET49, and THR26 play significant contributions in peptide-protein attachment. Binding free energy analysis (MM-PBSA) demonstrated the energy profile of interacting residues of Mpro in peptide-Mpro complexes. To summarize, the peptides DRAMP01808 and DRAMP01760 may be highly Mpro specific, resulting disruption in a viral replication and transcription. The results of this research are expected to assist future research toward the development of antiviral peptide-based therapeutics for Covid-19 treatment.

Peptide self-assembled nanomedicine induces antitumor immunity by blocking the PD-1/PD-L1 axis

The development of immune checkpoint inhibitors (ICIs) revolutionizes cancer treatment, which has been applied in the treatment of several kinds of malignancies in the clinic. Due to their specific affinity and controllable cost, the emerging peptide-based ICI therapeutics have attracted great attention. However, peptide-based drugs generally show poor bioavailability and a short in vivo half-life. Peptide-based nanomedicine is a promising approach to increase the efficacy of therapeutic peptides. In this work, an amphiphilic peptide based on the reported D-peptide for ICIs has been developed. The constructed amphiphilic peptide can self-assemble into a stable nanostructure (noted as CD-NPs). The prepared CD-NPs have a spherical shape with a hydrodynamic size of about 35 nm. In vivo studies show that the prepared nanomedicine can effectively inhibit tumor growth in 4T1 tumor-bearing mice. Moreover, we found that the CD-NPs increase the infiltration of effector T cells and natural killer cells as well as the immune cytokines in the tumor tissues, implying that they activated the immune response for antitumor activity. Finally, no obvious changes in the major organs, tissues, or the body weight caused by the nanomedicine can be observed, demonstrating their good biocompatibility. Taken together, this study provides a basic idea for designing a novel peptide-based nanomedicine for enhanced antitumor efficacy by enhancing the blockade of ICIs and activating the immune response.

Thiocarbazate building blocks enable the construction of azapeptides for rapid development of therapeutic candidates

Peptides, polymers of amino acids, comprise a vital and expanding therapeutic approach. Their rapid degradation by proteases, however, represents a major limitation to their therapeutic utility and chemical modifications to native peptides have been employed to mitigate this weakness. Herein, we describe functionalized thiocarbazate scaffolds as precursors of aza-amino acids, that, upon activation, can be integrated in a peptide sequence to generate azapeptides using conventional peptide synthetic methods. This methodology facilitates peptide editing—replacing targeted amino acid(s) with aza-amino acid(s) within a peptide—to form azapeptides with preferred therapeutic characteristics (extending half-life/bioavailability, while at the same time typically preserving structural features and biological activities). We demonstrate the convenience of this azapeptide synthesis platform in two well-studied peptides with short half-lives: FSSE/P5779, a tetrapeptide inhibitor of HMGB1/MD-2/TLR4 complex formation, and bradykinin, a nine-residue vasoactive peptide. This bench-stable thiocarbazate platform offers a robust and universal approach to optimize peptide-based therapeutics.

Antiviral peptides against SARS-CoV-2: therapeutic targets, mechanistic antiviral activity, and efficient delivery.

The global pandemic of COVID-19 is a serious public health concern. Over 625 million confirmed cases and more than 6 million deaths have been recorded worldwide. Although several vaccines and antiviral medications have been developed, their efficacy is limited by the emerging new SARS-CoV-2 strains. Peptide-based therapeutics is a fast-growing class of new drugs and have unique advantages over large proteins and small molecules. Antiviral peptides (AVPs) are short polycationic antivirals with broad-spectrum effects, which have been shown to exert both prophylactic and therapeutic actions against reported coronaviruses. The potential therapeutic targets of AVPs are located either on the virus (e.g., E-protein and S-protein) to prohibit viral binding or host cells, particularly, those present on the cell surface (e.g., ACE2 and TMPRSS2). Despite AVPs having promising antiviral effects, their efficacy is limited by low bioavailability. Thus, nanoformulation is a prerequisite for prolonged bioavailability and efficient delivery. This review aimed to present an insight into the therapeutic AVP targets on both virus and host cells by discussing their antiviral activities and associated molecular mechanisms. Besides, it described the technique for discovering and developing possible AVPs based on their targets, as well as the significance of using nanotechnology for their efficient delivery against SARS-CoV-2.