Screening Of Antimicrobial Peptides Research Articles

E-CLEAP: An ensemble learning model for efficient and accurate identification of antimicrobial peptides.

With the increasing problem of antimicrobial drug resistance, the search for new antimicrobial agents has become a crucial task in the field of medicine. Antimicrobial peptides, as a class of naturally occurring antimicrobial agents, possess broad-spectrum antimicrobial activity and lower risk of resistance development. However, traditional screening methods for antimicrobial peptides are inefficient, necessitating the development of an efficient screening model. In this study, we aimed to develop an ensemble learning model for the identification of antimicrobial peptides, named E-CLEAP, based on the Multilayer Perceptron Classifier (MLP Classifier). By considering multiple features, including amino acid composition (AAC) and pseudo amino acid composition (PseAAC) of antimicrobial peptides, we aimed to improve the accuracy and generalization ability of the identification process. To validate the superiority of our model, we employed five-fold cross-validation and compared it with other commonly used methods for antimicrobial peptide identification. In the experimental results on an independent test set, E-CLEAP achieved accuracies of 97.33% and 84% for the AAC and PseAAC features, respectively. The results demonstrated that our model outperformed other methods in all evaluation metrics. The findings of this study highlight the potential of the E-CLEAP model in enhancing the efficiency and accuracy of antimicrobial peptide screening, which holds significant implications for drug development, disease treatment, and biotechnology advancement. Future research can further optimize the model by incorporating additional features and information, as well as validating its reliability on larger datasets and in real-world environments. The source code and all datasets are publicly available at https://github.com/Wangsicheng52/E-CLEAP.

Antimicrobial Peptide Screening from Microbial Genomes in Sludge Based on Deep Learning

As the issue of traditional antibiotic resistance continues to worsen, exploring new antimicrobial substances has become crucial to addressing this challenge. Antimicrobial peptides (AMPs), recognized for their low resistance levels and minimal bacterial mutation frequencies, have garnered significant attention from researchers. However, traditional screening methods for AMPs are inefficient and costly. This study proposes a combined AMP screening model based on long short-term memory (LSTM) neural networks with an attention mechanism. By analyzing the characteristics of peptide segments, which are simulated enzymatic hydrolysis products of proteins expressed in sludge microbial genomes, the model accurately identifies peptide segments with potential antimicrobial activity. Molecular docking and dynamic simulation results validate three potential antimicrobial peptide candidates: LLPRLLARRY, GVREIHGLNPGGCLHTVRLVCR, and FRTTLAPHVLTRLLAPCW. These candidates exhibit high binding stability and affinity with target proteins, confirming the efficiency of the proposed AMP screening model.

AMP-EBiLSTM: employing novel deep learning strategies for the accurate prediction of antimicrobial peptides.

Antimicrobial peptides are present ubiquitously in intra- and extra-biological environments and display considerable antibacterial and antifungal activities. Clinically, it has shown good antibacterial effect in the treatment of diabetic foot and its complications. However, the discovery and screening of antimicrobial peptides primarily rely on wet lab experiments, which are inefficient. This study endeavors to create a precise and efficient method of predicting antimicrobial peptides by incorporating novel machine learning technologies. We proposed a deep learning strategy named AMP-EBiLSTM to accurately predict them, and compared its performance with ensemble learning and baseline models. We utilized Binary Profile Feature (BPF) and Pseudo Amino Acid Composition (PSEAAC) for effective local sequence capture and amino acid information extraction, respectively, in deep learning and ensemble learning. Each model was cross-validated and externally tested independently. The results demonstrate that the Enhanced Bi-directional Long Short-Term Memory (EBiLSTM) deep learning model outperformed others with an accuracy of 92.39% and AUC value of 0.9771 on the test set. On the other hand, the ensemble learning models demonstrated cost-effectiveness in terms of training time on a T4 server equipped with 16GB of GPU memory and 8 vCPUs, with training durations varying from 0 to 30s. Therefore, the strategy we propose is expected to predict antimicrobial peptides more accurately in the future.

Identification, Screening and Antibacterial Mechanism Analysis of Novel Antimicrobial Peptides from Sturgeon (Acipenser ruthenus) Spermary.

Fish is an important source of antimicrobial peptides. This study aimed to identify and screen antibacterial peptides with excellent antibacterial activity derived from sturgeon spermary peptides (SSPs) and to analyze their antibacterial activity and mechanism. Liquid chromatography-mass spectrometry/mass spectrometry methods were used to analyze and identify peptide sequences, computational prediction tool and molecular docking methods were used for virtual screening of antimicrobial peptides, and finally, candidate peptides were synthesized by solid-phase synthesis method. The results demonstrate that SSPs have excellent inhibitory activity against Escherichia coli with an inhibitory rate of 76.46%. Most parts of the SSPs were derived from the sturgeon (Acipenser ruthenus) histones, and the coverage of histone H2B was the highest (45%). Two novel peptides (NDEELNKLM and RSSKRRQ) were obtained by in silico prediction tools and molecular docking, which may interact with the DNA gyrase and dihydrofolate reductase of E. coli by forming salt bridges and hydrogen bonds. Compared to the individual peptides, the antibacterial effect was significantly improved by mixing the two peptides in equal proportions. Two novel peptides change the permeability of the E. coli cell membranes and may exert antimicrobial activity by inhibiting the metabolic process of the nucleic acids.

A Review of Methods and Progress in Highly Efficient Screening of Antimicrobial Peptides from Natural Products

A Review of Methods and Progress in Highly Efficient Screening of Antimicrobial Peptides from Natural Products

Screening and identification of BP100 peptide conjugates active against Xylella fastidiosa using a viability-qPCR method

BackgroundXylella fastidiosa is one of the most harmful bacterial plant pathogens worldwide, causing a variety of diseases, with huge economic impact to agriculture and environment. Although it has been extensively studied, there are no therapeutic solutions to suppress disease development in infected plants. In this context, antimicrobial peptides represent promising alternatives to traditional compounds due to their activity against a wide range of plant pathogens, their low cytotoxicity, their mode of action that make resistance more difficult and their availability for being expressed in plants.ResultsPeptide conjugates derived from the lead peptide BP100 and fragments of cecropin, magainin or melittin were selected and tested against the plant pathogenic bacteria X. fastidiosa. In order to screen the activity of these antimicrobials, and due to the fastidious nature of the pathogen, a methodology consisting of a contact test coupled with the viability-quantitative PCR (v-qPCR) method was developed. The nucleic acid-binding dye PEMAX was used to selectively quantify viable cells by v-qPCR. In addition, the primer set XF16S-3 amplifying a 279 bp fragment was selected as the most suitable for v-qPCR. The performance of the method was assessed by comparing v-qPCR viable cells estimation with conventional qPCR and plate counting. When cells were treated with peptide conjugates derived from BP100, the observed differences between methods suggested that, in addition to cell death due to the lytic effect of the peptides, there was an induction of the viable but non-culturable state in cells. Notably, a contact test coupled to v-qPCR allowed fast and accurate screening of antimicrobial peptides, and led to the identification of new peptide conjugates active against X. fastidiosa.ConclusionsAntimicrobial peptides active against X. fastidiosa have been identified using an optimized methodology that quantifies viable cells without a cultivation stage, avoiding underestimation or false negative detection of the pathogen due to the viable but non-culturable state, and overestimation of the viable population observed using qPCR. These findings provide new alternative compounds for being tested in planta for the control of X. fastidiosa, and a methodology that enables the fast screening of a large amount of antimicrobials against this plant pathogenic bacterium.

High throughput screening of small immune peptides and antimicrobial peptides from the Fish-T1K database

Analyses of transcriptomic datasets have the potential to reveal genetic markers underlying ecological adaptations. In the present study, we leverage the expanding dataset generated by the Fish-T1K Project (Transcriptomes of 1000 Fishes) to characterize small peptides that may be implicated in the immune system of fishes. We focused our analyses on sequences smaller than 360 bp obtained from gill transcriptomes of 87 ray-finned fishes (Actinopterygii). Functional annotation of short transcripts revealed that the number of small immune peptides varied significantly among the studied species. High-throughput screening of antimicrobial peptides (AMPs) with homologous searches was used to characterize the composition of innate immune defense factors present in fishes. We analyzed the putative effects of habitat, climatic zone and genetic system on the distribution of small peptides among species. Our results highlight the utility of large transcriptomic datasets such as Fish-T1K to explore patterns of variation at macroevolutionary scales and to discover novel peptides that may be used for further investigation and drug development.

A Computationally Designed Peptide Derived from Escherichia coli as a Potential Drug Template for Antibacterial and Antibiofilm Therapies.

Computer-aided screening of antimicrobial peptides (AMPs) is a promising approach for discovering novel therapies against multidrug-resistant bacterial infections. Here, we functionally and structurally characterized an Escherichia coli-derived AMP (EcDBS1R5) previously designed through pattern identification [α-helical set (KK[ILV](3)[AILV])], followed by sequence optimization. EcDBS1R5 inhibited the growth of Gram-negative and Gram-positive, susceptible and resistant bacterial strains at low doses (2-32 μM), with no cytotoxicity observed against non-cancerous and cancerous cell lines in the concentration range analyzed (<100 μM). Furthermore, EcDBS1R5 (16 μM) acted on Pseudomonas aeruginosa pre-formed biofilms by compromising the viability of biofilm-constituting cells. The in vivo antibacterial potential of EcDBS1R5 was confirmed as the peptide reduced bacterial counts by two-logs 2 days post-infection using a skin scarification mouse model. Structurally, circular dichroism analysis revealed that EcDBS1R5 is unstructured in hydrophilic environments, but has strong helicity in 2,2,2-trifluoroethanol (TFE)/water mixtures (v/v) and sodium dodecyl sulfate (SDS) micelles. The TFE-induced nuclear magnetic resonance structure of EcDBS1R5 was determined and showed an amphipathic helical segment with flexible termini. Moreover, we observed that the amide protons for residues Met2-Ala8, Arg10, Ala13-Ala16, and Trp19 in EcDBS1R5 are protected from the solvent, as their temperature coefficients values are more positive than -4.6 ppb·K-1. In summary, this study reports a novel dual-antibacterial/antibiofilm α-helical peptide with therapeutic potential in vitro and in vivo against clinically relevant bacterial strains.

Immobilized Lipid Affinity Capture for Antimicrobial Peptides Screening

A novel method for rapid screening of antimicrobial peptides (AMPs) was developed by using immobilized lipid affinity capture (ILAC) coupled with LC-MS. Phospholipid (PL) mixture containing phosphatidyl glycerol (PG): phosphatidyl ethanolamine (PE) (4:1), roughly mimic the PL composition of Gram-positive bacterial membrane, was covalently immobilized on magnetic particles (MPs). PL monolayer immobilized on MPs was used as a matrix for capturing of the membrane-disruptive AMPs. Hominicin, a new AMP against Gram-positive bacteria, was successfully captured by ILAC from the peptide pool of Staphylococcus hominis MBBL 2–9. The hominicin was identified by the comparative analysis of LC-MS 2Dprofiles of peptides captured by bare and PL-immobilized MPs. This is the first report for the development of rapid AMP screening method using lipid-immobilized MPs and LC-MS which will be a promising tool for discovery of various kinds of AMPs.

Identification of a Novel Proline-Rich Antimicrobial Peptide from Brassica napus.

Proline-rich antimicrobial peptides (PR-AMPs) are a group of cationic host defense peptides that are characterized by a high content of proline residues. Up to now, they have been reported in some insects, vertebrate and invertebrate animals, but are not found in plants. In this study, we performed an in silico screening of antimicrobial peptides, which led to discovery of a Brassica napus gene encoding a novel PR-AMP. This gene encodes a 35-amino acid peptide with 13 proline residues, designated BnPRP1. BnPRP1 has 40.5% identity with a known proline-rich antimicrobial peptide SP-B from the pig. BnPRP1 was artificially synthetized and cloned into the prokaryotic expression vector pET30a/His-EDDIE-GFP. Recombinant BnPRP1 was produced in Escherichia coli and has a predicted molecular mass of 3.8 kDa. Analysis of its activity demonstrated that BnPRP1 exhibited strong antimicrobial activity against Gram-positive bacterium, Gram-negative bacterium, yeast and also had strong antifungal activity against several pathogenic fungi, such as Sclerotinia sclerotiorum, Mucor sp., Magnaporthe oryzae and Botrytis cinerea. Circular dichroism (CD) revealed the main secondary structure of BnPRP1 was the random coil. BnPRP1 gene expression detected by qRT-PCR is responsive to pathogen inoculation. At 48 hours after S. sclerotiorum inoculation, the expression of BnPRP1 increased significantly in the susceptible lines while slight decrease occurred in resistant lines. These suggested that BnPRP1 might play a role in the plant defense response against S. sclerotiorum. BnPRP1 isolated from B. napus was the first PR-AMP member that was characterized in plants, and its homology sequences were found in some other Brassicaceae plants by the genome sequences analysis. Compared with the known PR-AMPs, BnPRP1 has the different primary sequences and antimicrobial activity. Above all, this study gives a chance to cast a new light on further understanding about the AMPs’ mechanism and application.

Targeted separation of antibacterial peptide from protein hydrolysate of anchovy cooking wastewater by equilibrium dialysis

Anchovy (Engraulis japonicus) cooking wastewater (ACWW) is a by-product resulted from the production of boiled–dried anchovies in the seafood processing industry. In this study, the protein hydrolysate of ACWW (ACWWPH) was found to have antimicrobial activity after enzymatic hydrolysis with Protamex. For the targeted screening of antibacterial peptides, liposomes constructed from Staphylococcus aureus membrane lipids were used in an equilibrium dialysis system. The hydrolysate was further purified by liposome equilibrium dialysis combined with high performance liquid chromatography. The purified antimicrobial peptide (ACWWP1) was determined to be GLSRLFTALK, with a molecular weight of 1104.6622Da. The peptide exhibited no haemolytic activity up to a concentration of 512μg/ml. It displayed a dose-dependent bactericidal effect in reconstituted milk. The change in cell surface hydrophobicity and membrane-permeable action of the purified ACWWP1 may have contributed to the antibacterial effect. This study suggests that liposome equilibrium dialysis can be used for the targeted screening of antimicrobial peptides.

Evaluation of the Antimicrobial Activity of the K9CATH Peptide (38 Amino Acids) Against a Mastitis Isolated Strain of &lt;em&gt;Staphylococcus aureus&lt;/em&gt; by the Resazurin microtiter Method

The antimicrobial activity of the synthetic peptide K9CATH was determined by the Resazurin microtitre Method (RMM) against a strain of S. aureus isolated from a case of mastitis. To the antibiogram this bacteria strain showed to be resistant to Ampicillin, Erythromycin, Cefeprime, Dicloxaciline and Penicillin (10 U), while the MIC obtained for the K9CATH was 5.66 µg/mL. Unlike the reference broth method, visual reading for MIC determination with the RMM showed to be easier, rapid, inexpensive and more sensitive for antimicrobial peptide screening, based in a color change from blue (not growth) to pink (growth). This is the first time that the resazurin method is used to determine the MIC of the 38 aas K9CATH peptide against a mastitic isolate of S. aureus.

A Screening of Class IIa Bacteriocins Produced by Lactic Acid Bacteria Isolated from Fermented Mare Milk

AbstractTwelve fermented mare milk samples were screened for class IIa bacteriocins based on a polymerase chain reaction (PCR) method. The positive PCR products were cloned and sequenced. The sequences shared 99% identity to enterocin A‐coding gene. The lactic acid bacteria, which showed positive PCR results, were detected with antimicrobial activity by means of traditional well‐diffusion method. The strains C71 and C102 showed antimicrobial activity to Listeria sp. These strains showed a potential application in food preservation. The results also indicated the PCR screening method proposed in this study can be used for the screening of antimicrobial peptides of class IIa.Practical ApplicationsIn the present study, 44 class IIa bacteriocins from a wide range of lactic acid bacteria were included in a cluster analysis, and primers were designed on basis of the cluster analysis. We screened class IIa bacteriocin‐producing lactic acid bacteria that were isolated from traditional fermented mare milk by means of a PCR‐based assay. Two strains showed potential application in food preservation. The results indicated the PCR screening method proposed in this study can be used for the screening of antimicrobial peptides of class IIa. This method is still in an exploratory stage. It needs to be improved in the future.

Antimicrobial peptide isolated from ovalbumin hydrolysate by immobilized liposome-binding extraction

Antimicrobial peptides are of greatest potential as a new group of antibiotics. Enzymatic hydrolysis was performed using flavourzyme, pepsin, trypsin, neutrase, papain and alcalase to obtain antimicrobial peptides from ovalbumin. Pepsin hydrolysate exhibited the highest antimicrobial activity compared with other fractions. To purify and characterize antimicrobial peptide, an immobilized liposome-binding extraction method was developed, in which the liposome was regarded as a mimic biomembrane system. The immobilized liposome stationary phase was prepared, and the maximum adsorption capacity and Langmuir constant were 81.30 μM/g and 8.19 mL/mg, respectively. Four fragments were simultaneously predicted by the comparison between reverse-phase high-performance liquid chromatography chromatograms of pepsin hydrolysate before and after interaction with immobilized liposome membrane. A novel cationic antimicrobial peptide named Opep2 was sequenced as RVASMASEKMKI. In addition, antimicrobial mode experiments showed that Opep2 interacted with cell wall membrane and caused potassium efflux, nucleotide leakage and ultimately cell death. Because of the high efficiency and procedural simplicity, the immobilized liposome-binding extraction method could be more efficient for the screening of antimicrobial peptides than conventional methods, which provides scientific references for antimicrobial peptide production.

Evaluation of the antimicrobial susceptibility of Staphylococcus aureus to the K9CATH peptide by the resazurin microtiter method and the reference broth microdilution method

The antimicrobial activity of the synthetic peptide K9CATH was determined by the resazurin microtitre method (RMM) and by the reference broth microdilution method (NCCLS) against a clinical mastitic isolate of S. aureus and a control strain of S.aureus ATCC. By both methods K9CATH inhibited both strains of S. aureus . The MIC for the field strain ranged between 4 and 8 mg/mL when determined visually and by absorbance, respectively, with both methods. For the control strain the MIC fell between 16 and 18 mg/mL by visual and absorbance interpretation, respectively, by both methods. Due to the color change from blue (not growth) to pink (growth) visual reading for MIC determination with the RMM showed to be easier, rapid, inexpensive and more sensitive for antimicrobial peptide screening than the reference method. This is the first time that the resazurin method is used to determine the MIC of antimicrobial peptides to S. aureus .

Efficient Screening of a Novel Antimicrobial Peptide from Jatropha curcas by Cell Membrane Affinity Chromatography

A novel method named cell membrane affinity chromatography was used to screen antimicrobial peptides from Jatropha curcas . A cationic antimicrobial peptide (KVFLGLK, JCpep7) was successfully isolated and identified. Antimicrobial assays indicated that JCpep7 was active against the tested microorganisms ( Salmonella typhimurium ATCC 50013, Shigella dysenteriae ATCC 51302, Pseudomonas aeruginosa ATCC 27553, Staphylococcus aureus ATCC 25923, Bacillus subtilis ATCC 23631, and Streptococcus pneumoniae ATCC 49619) with minimal inhibitory concentration (MIC) values ranging from 24 to 64 μg/mL. The antimicrobial mechanisms based on Fourier transform infrared (FTIR) spectroscopy and transmission electron microscopy (TEM) techniques showed that JCpep7 killed microbes principally via breaking of their cell walls and membranes, followed by cell lysis. The results indicated that cell membrane affinity chromatography could be a promising approach for high-throughput screening of antimicrobial peptides from J. curcas .

Optimization and High-Throughput Screening of Antimicrobial Peptides

While a well-established process for lead compound discovery in for-profit companies, high-throughput screening is becoming more popular in basic and applied research settings in academia. The development of combinatorial libraries combined with easy and less expensive access to new technologies have greatly contributed to the implementation of high-throughput screening in academic laboratories. While such techniques were earlier applied to simple assays involving single targets or based on binding affinity, they have now been extended to more complex systems such as whole cell-based assays. In particular, the urgent need for new antimicrobial compounds that would overcome the rapid rise of drug-resistant microorganisms, where multiple target assays or cell-based assays are often required, has forced scientists to focus onto high-throughput technologies. Based on their existence in natural host defense systems and their different mode of action relative to commercial antibiotics, antimicrobial peptides represent a new hope in discovering novel antibiotics against multi-resistant bacteria. The ease of generating peptide libraries in different formats has allowed a rapid adaptation of high-throughput assays to the search for novel antimicrobial peptides. Similarly, the availability nowadays of high-quantity and high-quality antimicrobial peptide data has permitted the development of predictive algorithms to facilitate the optimization process. This review summarizes the various library formats that lead to de novo antimicrobial peptide sequences as well as the latest structural knowledge and optimization processes aimed at improving the peptides selectivity.

Novel method for selection of antimicrobial peptides from a phage display library by use of bacterial magnetic particles.

Antimicrobial peptides were isolated from a phage display peptide library using bacterial magnetic particles (BacMPs) as a solid support. The BacMPs obtained from "Magnetospirillum magneticum" strain AMB-1 consist of pure magnetite (50 to 100 nm in size) and are covered with a lipid bilayer membrane derived from the invagination of the inner membrane. BacMPs are easily purified from a culture of magnetotactic bacteria by magnetic separation. Approximately 4 x 10(10) PFU of the library phage (complexity, 2.7 x 10(9)) was reacted with BacMPs. The elution of bound phages from BacMPs was performed by disrupting its membrane with phospholipase D treatment. Six candidate peptides, which were highly cationic and could bind onto the BacMP membrane, were obtained. They exhibited antimicrobial activity against Bacillus subtilis but not against Escherichia coli and Saccharomyces cerevisiae. The amino acid substitution of the selected peptide, KPQQHNRPLRHK (peptide 6-7), to enhance the hydrophobicity resulted in obvious antimicrobial activity against all test microorganisms. The present study shows for the first time that a magnetic selection of antimicrobial peptides from the phage display peptide library was successfully achieved by targeting the actual bacterial inner membrane. This BacMP-based method could be a promising approach for a high-throughput screening of antimicrobial peptides targeting a wide range of species.

High-Throughput and Facile Assay of Antimicrobial Peptides Using pH-Controlled Fluorescence Resonance Energy Transfer

Amphipathic antimicrobial peptides can destroy bacteria cells by inducing membrane permeabilization, forming one strategy for innate defense by various organisms. However, although the antimicrobial peptides are considered a promising alternative for use against multidrug-resistant bacteria, large-scale screening of potential candidate antimicrobial peptides will require a simple, rapid assay for antimicrobial activity. Here, we describe a novel fluorescence resonance energy transfer (FRET)-based assay system for antimicrobial peptides which takes advantage of pH-related changes in FRET efficiency due to the instability of enhanced yellow fluorescent protein versus the stability of enhanced cyan fluorescent protein in a reduced-pH environment. We successfully showed that quantification of antimicrobial activity is possible through a difference of FRET efficiency between ECFP-EYFP fusion molecules released from disrupted Escherichia coli in an extracellular environment (pH 6) and those retained in an intracellular environment (pH approximately 7). Thus, we herein suggest a new simple, effective, and efficient pH-controlled FRET-based antimicrobial peptide screening method applicable to high-throughput screening of candidate peptide libraries.

Improving on Natures Defenses: Optimization &amp; High Throughput Screening of Antimicrobial Peptides

Antimicrobial peptides (AMPs) are ubiquitous in nature where they play important roles in host defense and microbial control. Despite their natural origin, antimicrobial spectrum and potency, the lead peptide candidates that so far have entered pharmaceutical development have all been further optimized by rational or semi-rational approaches. In recent years, several high throughput screening (HTS) systems have been developed to specifically address optimization of AMPs. These include a range of computational in silico systems and cell-based in vivo systems. The in silico-based screening systems comprise several computational methods such as Quantitative Structure/Activity Relationships (QSAR) as well as simulation methods mimicking peptide/membrane interactions. The in vivo-based systems can be divided in cis-acting and trans-acting screening systems. The cis-acting pre-screens, where the AMP exerts its antimicrobial effect on the producing cell, allow screening of millions or even billions of lead candidates for their basic antimicrobial or membrane-perturbating activity. The trans-acting screens, where the AMP is secreted or actively liberated from the producing cell and interacts with cells different from the producing cell, allow for screening under more complex and application-relevant conditions. This review describes the application of HTS systems employed for AMPs and lists advantages as well as limitations of these systems.