Simulations of octapeptin-outer membrane interactions reveal conformational flexibility is linked to antimicrobial potency

Insights into colistin-mediated fluorescence labelling of bacterial LPS

Gram-negative bacterial infections are becoming untreatable due to their ability to mutate, and the gradual development of their resistance to the available antimicrobials. In recent times colistin, a drug of last resort, started losing its efficacy towards multidrug-resistant bacterial infections. Colistin targets bacterial endotoxin lipopolysaccharides (LPS) and destabilises the cytoplasmic membrane by disrupting the outer LPS membrane. In this study, we have tried to label the bacterial LPS, the main constituent of the cytoplasmic membrane of bacterial cells, to try to understand the interaction mechanism of LPS with colistin. The chemosensor, naphthaldehyde appended furfural (NAF) that selectively recognises colistin can label LPS, by showing its fluorescence signals. The computationally derived three-dimensional structure of LPS has been introduced to speculate on the possible binding mode of colistin with LPS, and this was also thoroughly studied with the help of quantum mechanics and molecular dynamics energy minimisation. Fluorescence microscopy and FE-SEM microscopic studies were also used to observe the change in the structural morphology of colistin-sensitive and resistant Salmonella typhi in different experimental conditions.

Design, Synthesis, and Bioactivity Investigation of Cyclic Lipopeptide Antibiotics Containing Eight to Nine Amino Acids

The current global issue of antibiotic resistance is serious, and there is an urgent requirement of developing novel antibiotics. Octapeptins have recently regained interest because of their activities against resistant Gram-negative bacteria. We synthesized four natural octapeptins and 33 derivatives with diverse polarity, amphiphilicity, and acid-base properties by solid-phase synthesis and investigated their in vitro antibacterial activity and renal cytotoxicity. We also assessed the structure-activity relationship and structure-toxicity relationship of the cyclic lipopeptide compounds. Some compounds showed increased activity against Gram-negative and/or Gram-positive bacteria, with improved renal cytotoxicity. C-02 showed remarkable in vitro antibacterial activity and low renal cytotoxicity. We found that C-02 showed high antibacterial activity against Escherichia coli in vivo and manifested its effects preliminarily by increasing outer membrane permeability. Therefore, C-02 might be a new antibiotic lead compound with not only high efficacy but also low renal cytotoxicity.

Critical Role of Position 10 Residue in the Polymyxin Antimicrobial Activity

Polymyxins (polymyxin B and colistin) are lipopeptide antibiotics used as a last-line treatment for life-threatening multidrug-resistant (MDR) Gram-negative bacterial infections. Unfortunately, their clinical use has been affected by dose-limiting toxicity and increasing resistance. Structure-activity (SAR) and structure-toxicity (STR) relationships are paramount for the development of safer polymyxins, albeit very little is known about the role of the conserved position 10 threonine (Thr) residue in the polymyxin core scaffold. Here, we synthesized 30 novel analogues of polymyxin B₁ modified explicitly at position 10 and examined the antimicrobial activity against Gram-negative bacteria and in vivo toxicity and performed molecular dynamics simulations with bacterial outer membranes. For the first time, this study revealed the stereochemical requirements and role of the β-hydroxy side chain in promoting the correctly folded conformation of the polymyxin that drives outer membrane penetration and antibacterial activity. These findings provide essential information for developing safer and more efficacious new-generation polymyxin antibiotics.

Comparative Genomics Insights into a Novel Biocontrol Agent Paenibacillus peoriae Strain ZF390 against Bacterial Soft Rot

Simple Summary

Bacterial soft rot, attributed to Pectobacterium brasiliense infection, has caused destructive impacts and colossal economic losses to China’s agricultural industry. Chemical control, which was ubiquitously used, cannot manage this disease as expected, so biocontrol has been followed with interest to date. In this study, we found a Paenibacillus peoriae strain ZF390 that had a potent control efficiency over cucumber plants against Pectobacterium brasiliense, and the comparative genomic analysis revealed biocontrol mechanisms might be involved in the strain ZF390.

Abstract

Bacterial soft rot, caused by Pectobacterium brasiliense, can infect several economically important horticultural crops. However, the management strategies available to control this disease are limited. Plant-growth-promoting rhizobacteria (PGPR) have been considered to be promising biocontrol agents. With the aim of obtaining a strain suitable for agricultural applications, 161 strains were isolated from the rhizosphere soil of healthy cucumber plants and screened through plate bioassays and greenhouse tests. Paenibacillus peoriae ZF390 exhibited an eminent control effect against soft rot disease and a broad antagonistic activity spectrum in vitro. Moreover, ZF390 showed good activities of cellulase, protease, and phosphatase and a tolerance of heavy metal. Whole-genome sequencing was performed and annotated to explore the underlying biocontrol mechanisms. Strain ZF390 consists of one 6,193,667 bp circular chromosome and three plasmids. Comparative genome analysis revealed that ZF390 involves ten gene clusters responsible for secondary metabolite antibiotic synthesis, matching its excellent biocontrol activity. Plenty of genes related to plant growth promotion, biofilm formation, and induced systemic resistance were mined to reveal the biocontrol mechanisms that might consist in strain ZF390. Overall, these findings suggest that strain ZF390 could be a potential biocontrol agent in bacterial-soft-rot management, as well as a source of antimicrobial mechanisms for further exploitation.

An Intelligent Strategy with All-Atom Molecular Dynamics Simulations for the Design of Lipopeptides against Multidrug-Resistant Pseudomonas aeruginosa

Multidrug-resistant Gram-negative bacteria seriously threaten modern medicine due to the lack of efficacious therapeutic options. Their outer membrane (OM) is an essential protective fortress to exclude many antibiotics. Unfortunately, current structural biology methods are not able to resolve the membrane structure and it is difficult to examine the specific interaction between the OM and small molecules. These limitations hinder mechanistic understanding of antibiotic penetration through the OM and antibiotic discovery. Here, we developed biologically relevant OM models by quantitatively determining membrane lipidomics of Pseudomonas aeruginosa and elucidated how lipopolysaccharide modifications and OM vesicles mediated resistance to polymyxins. Supported by chemical biology and pharmacological assays, our multiscale molecular dynamics simulations provide an intelligent platform to quantify the membrane-penetrating thermodynamics of peptides and predict their antimicrobial activity. Through experimental validations with our in-house polymyxin analogue library, our computational strategy may have significant potential in accelerating the discovery of lipopeptides against bacterial "superbugs".

Interactions between polymyxin B and various bacterial membrane mimics: A molecular dynamics study

Polymyxin B (PMB) is clinically used as a last-line therapy against life-threatening Gram-negative "superbugs". However, thorough understanding of the membrane actions of PMB at a molecular level is still lacking. In this work, a variety of bacterial membrane mimics with varying lipid compositions were built, and their interactions with PMB were systematically investigated using coarse-grained molecular dynamics simulation. PMB demonstrated characteristic preference to specific lipid species during its interaction with different membrane systems, such as the rough mutant lipipolysacchrides (Re LPS) preference in an outer membrane (OM) or the cardiolipin and POPG affinity in an inner membrane (IM). As a result of the lipid-specific actions, complicated membrane interaction states of PMB were observed, including adsorption on the OM surface. In contrast, for the IM or a mutative OM containing "impurity lipids" like POPE, POPG or lipid A, it could insert into the membrane via its acyl chain. Such actions of PMB influence the structure and lipid mobility of the membrane. In particular, the OM-bound PMB breaks the synchronous movement of Re LPS molecules in the outer leaflet and makes them diffuse more randomly, while its insertion into IM blocks the phospholipid diffusion and makes the membrane more homogeneous in the trajectory space. Our results provide insight into the action mechanism of PMB at a membrane level and a foundation for developing novel and safer polymyxin strategies for better clinical use.

Polymyxin B1 within the E. coli cell envelope: insights from molecular dynamics simulations

Polymyxins are used as last-resort antibiotics, where other treatments have been ineffectual due to antibiotic resistance. However, resistance to polymyxins has also been now reported, therefore it is instructive to characterise at the molecular level, the mechanisms of action of polymyxins. Here we review insights into these mechanisms from molecular dynamics simulations and discuss the utility of simulations as a complementary technique to  experimental methodologies.

Coarse-grained simulations uncover Gram-negative bacterial defense against polymyxins by the outer membrane

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A structural model of bacterial outer membrane (OM) was developed with Ra LPS.

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Free energy landscape was revealed for polymyxin interactions with the OM.

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LPS core sugars and calcium ions confer intrinsic resistance to antibiotics.

The outer membrane (OM) of Gram-negative bacteria is a formidable barrier against antibiotics. Understanding the structure and function of the OM is essential for the discovery of novel membrane-acting agents against multidrug-resistant Gram-negative pathogens. However, it remains challenging to obtain three-dimensional structure of bacterial membranes using crystallographic approaches, which has significantly hindered the elucidation of its interaction with antibiotics. Here, we developed an asymmetric OM model consisting of rough lipopolysaccharide (LPS) and three key types of phospholipids. Using coarse-grained molecular dynamics simulations, we investigated the interaction dynamics of LPS-containing OM with the polymyxins, a last-line class of antibiotics against Gram-negative ‘superbugs’. We discovered that polymyxin molecules spontaneously penetrated the OM core sugar region where most were trapped before entering the lipid A region. Examination of the free energy profile of polymyxin penetration revealed a major free energy barrier at the LPS inner core and lipid A interface. Further analysis revealed calcium ions predominantly distributed in the inner core region and mediated extensive cross-linking interactions between LPS molecules, thereby inhibiting the penetration of polymyxins into the hydrophobic region of the OM. Collectively, our results provide novel mechanistic insights into an intrinsic defense of Gram-negative bacteria to polymyxins and may help identify new antimicrobial targets.

A novel chemical biology and computational approach to expedite the discovery of new-generation polymyxins against life-threatening Acinetobacter baumannii

Multidrug-resistant Gram-negative bacteria represent a major medical challenge worldwide. New antibiotics are desperately required with 'old' polymyxins often being the only available therapeutic option. Here, we systematically investigated the structure-activity relationship (SAR) of polymyxins using a quantitative lipidomics-informed outer membrane (OM) model of Acinetobacter baumannii and a series of chemically synthesized polymyxin analogs. By integrating chemical biology and all-atom molecular dynamics simulations, we deciphered how each residue of the polymyxin molecule modulated its conformational folding and specific interactions with the bacterial OM. Importantly, a novel designed polymyxin analog FADDI-287 with predicted stronger OM penetration showed improved in vitro antibacterial activity. Collectively, our study provides a novel chemical biology and computational strategy to expedite the discovery of new-generation polymyxins against life-threatening Gram-negative 'superbugs'.

Evaluating the Performance of Water Models with Host-Guest Force Fields in Binding Enthalpy Calculations for Cucurbit[7]uril-Guest Systems

Computational prediction of thermodynamic components with computational methods has become increasingly routine in computer-aided drug design. Although there has been significant recent effort and improvements in the calculation of free energy, the prediction of enthalpy (and entropy) remains underexplored. Furthermore, there has been relatively little work reported so far that attempts to comparatively assess how well different force fields and water models perform in conjunction with each other. Here, we report a comprehensive assessment of force fields and water models using host-guest systems that mimic many features of protein-ligand systems. These systems are computationally inexpensive, possibly because of their small size compared to protein-ligand systems. We present absolute enthalpy calculations using the multibox approach on a set of 25 cucurbit[7]uril-guest pairs. Eight water models were considered (TIP3P, TIP4P, TIP4P-Ew, SPC, SPC/E, OPC, TIP5P, Bind3P), along with five force fields commonly used in the literature (GAFFv1, GAFFv2, CGenFF, Parsley, and SwissParam). We observe that host-guest binding enthalpies are strongly sensitive to the selection of force field and water model. In terms of water models, we find that TIP3P and its derivative Bind3P are the best performing models for this particular host-guest system. The performance is generally better for aliphatic compounds than for aromatic ones, suggesting that aromaticity remains a difficult property to include accurately in these simple force fields.

Molecular Dynamics Simulation of the Interaction of Two Linear Battacin Analogs with Model Gram-Positive and Gram-Negative Bacterial Cell Membranes

Antimicrobial peptides (AMPs) are a potential solution to the increasing threat of antibiotic resistance, but successful design of active but nontoxic AMPs requires understanding their mechanism of action. Molecular dynamics (MD) simulations can provide atomic-level information regarding how AMPs interact with the cell membrane. Here, we have used MD simulations to study two linear analogs of battacin, a naturally occurring cyclic, lipidated, nonribosomal AMP. Like battacin, these analogs are active against Gram-negative multidrug resistant and Gram-positive bacteria, but they are less toxic than battacin. Our simulations show that this activity depends upon a combination of positively charged and hydrophobic moieties. Favorable interactions with negatively charged membrane lipid head groups drive association with the membrane and insertion of hydrophobic residues, and the N-terminal lipid anchors the peptides to the membrane surface. Both effects are required for stable membrane binding.

Mode-of-Action of Antimicrobial Peptides: Membrane Disruption vs. Intracellular Mechanisms

Antimicrobial peptides are an attractive alternative to traditional antibiotics, due to their physicochemical properties, activity toward a broad spectrum of bacteria, and mode-of-actions distinct from those used by current antibiotics. In general, antimicrobial peptides kill bacteria by either disrupting their membrane, or by entering inside bacterial cells to interact with intracellular components. Characterization of their mode-of-action is essential to improve their activity, avoid resistance in bacterial pathogens, and accelerate their use as therapeutics. Here we review experimental biophysical tools that can be employed with model membranes and bacterial cells to characterize the mode-of-action of antimicrobial peptides.