# | Rank | Similarity | Title + Abs. | Year | PMID |
|---|---|---|---|---|---|
| 0 | 1 | 2 | 3 | 4 | 5 |
| 9566 | 0 | 1.0000 | Computational resources in the management of antibiotic resistance: Speeding up drug discovery. This article reviews more than 50 computational resources developed in past two decades for forecasting of antibiotic resistance (AR)-associated mutations, genes and genomes. More than 30 databases have been developed for AR-associated information, but only a fraction of them are updated regularly. A large number of methods have been developed to find AR genes, mutations and genomes, with most of them based on similarity-search tools such as BLAST and HMMER. In addition, methods have been developed to predict the inhibition potential of antibiotics against a bacterial strain from the whole-genome data of bacteria. This review also discuss computational resources that can be used to manage the treatment of AR-associated diseases. | 2021 | 33892146 |
| 9567 | 1 | 0.9999 | How to discover new antibiotic resistance genes? Antibiotic resistance (AR) is a worldwide concern and the description of AR have been discovered mainly because of their implications in human medicine. Since the recent burden of whole-genome sequencing of microorganisms, the number of new AR genes (ARGs) have dramatically increased over the last decade. Areas covered: In this review, we will describe the different methods that could be used to characterize new ARGs using classic or innovative methods. First, we will focus on the biochemical methods, then we will develop on molecular methods, next-generation sequencing and bioinformatics approaches. The use of various methods, including cloning, mutagenesis, transposon mutagenesis, functional genomics, whole genome sequencing, metagenomic and functional metagenomics will be reviewed here, outlining the advantages and drawbacks of each method. Bioinformatics softwares used for resistome analysis and protein modeling will be also described. Expert opinion: Biological experiments and bioinformatics analysis are complementary. Nowadays, the ARGs described only account for the tip of the iceberg of all existing resistance mechanisms. The multiplication of the ecosystems studied allows us to find a large reservoir of AR mechanisms. Furthermore, the adaptation ability of bacteria facing new antibiotics promises a constant discovery of new AR mechanisms. | 2019 | 30895843 |
| 9565 | 2 | 0.9999 | Finding drug targets in microbial genomes. In this era of genomic science, knowledge about biological function is integrated increasingly with DNA sequence data. One area that has been significantly impacted by this accumulation of information is the discovery of drugs to treat microbial infections. Genome sequencing and bioinformatics is driving the discovery and development of novel classes of broad-spectrum antimicrobial compounds, and could enable medical science to keep pace with the increasing resistance of bacteria, fungi and parasites to current antimicrobials. This review discusses the use of genomic information in the rapid identification of target genes for antimicrobial drug discovery. | 2001 | 11522517 |
| 4091 | 3 | 0.9999 | Insights into novel antimicrobial compounds and antibiotic resistance genes from soil metagenomes. In recent years a major worldwide problem has arisen with regard to infectious diseases caused by resistant bacteria. Resistant pathogens are related to high mortality and also to enormous healthcare costs. In this field, cultured microorganisms have been commonly focused in attempts to isolate antibiotic resistance genes or to identify antimicrobial compounds. Although this strategy has been successful in many cases, most of the microbial diversity and related antimicrobial molecules have been completely lost. As an alternative, metagenomics has been used as a reliable approach to reveal the prospective reservoir of antimicrobial compounds and antibiotic resistance genes in the uncultured microbial community that inhabits a number of environments. In this context, this review will focus on resistance genes as well as on novel antibiotics revealed by a metagenomics approach from the soil environment. Biotechnology prospects are also discussed, opening new frontiers for antibiotic development. | 2014 | 25278933 |
| 9487 | 4 | 0.9998 | Molecular mechanisms of antibiotic resistance revisited. Antibiotic resistance is a global health emergency, with resistance detected to all antibiotics currently in clinical use and only a few novel drugs in the pipeline. Understanding the molecular mechanisms that bacteria use to resist the action of antimicrobials is critical to recognize global patterns of resistance and to improve the use of current drugs, as well as for the design of new drugs less susceptible to resistance development and novel strategies to combat resistance. In this Review, we explore recent advances in understanding how resistance genes contribute to the biology of the host, new structural details of relevant molecular events underpinning resistance, the identification of new resistance gene families and the interactions between different resistance mechanisms. Finally, we discuss how we can use this information to develop the next generation of antimicrobial therapies. | 2023 | 36411397 |
| 4061 | 5 | 0.9998 | Beyond serial passages: new methods for predicting the emergence of resistance to novel antibiotics. Market launching of a new antibiotic requires knowing in advance its benefits and possible risks, and among them how rapidly resistance will emerge and spread among bacterial pathogens. This information is not only useful from a public health point of view, but also for pharmaceutical industry, in order to reduce potential waste of resources in the development of a compound that might be discontinued at the short term because of resistance development. Most assays currently used for predicting the emergence of resistance are based on culturing the target bacteria by serial passages in the presence of increasing concentrations of antibiotics. Whereas these assays may be valuable for identifying mutations that might cause resistance, they are not useful to establish how fast resistance might appear, neither to address the risk of spread of resistance genes by horizontal gene transfer. In this article, we review recent information pertinent for a more accurate prediction on the emergence and dispersal of antibiotic resistance. | 2011 | 21835695 |
| 4090 | 6 | 0.9998 | Ancient Resistome. Antibiotic resistance is an ancient biological mechanism in bacteria, although its proliferation in our contemporary world has been amplified through antimicrobial therapy. Recent studies conducted on ancient environmental and human samples have uncovered numerous antibiotic-resistant bacteria and resistance genes. The resistance genes that have been reported from the analysis of ancient bacterial DNA include genes coding for several classes of antibiotics, such as glycopeptides, β-lactams, tetracyclines, and macrolides. The investigation of the resistome of ancient bacteria is a recent and emerging field of research, and technological advancements such as next-generation sequencing will further contribute to its growth. It is hoped that the knowledge gained from this research will help us to better understand the evolution of antibiotic resistance genes and will also be used in drug design as a proactive measure against antibiotic resistance. | 2016 | 27726801 |
| 9564 | 7 | 0.9998 | Genomic tools to profile antibiotic mode of action. The increasing emergence of antimicrobial multiresistant bacteria is of great concern to public health. While these bacteria are becoming an ever more prominent cause of nosocomial and community-acquired infections worldwide, the antibiotic discovery pipeline has been stalled in the last few years with very few efforts in the research and development of novel antibacterial therapies. Some of the root causes that have hampered current antibiotic drug development are the lack of understanding of the mode of action (MOA) of novel antibiotic molecules and the poor characterization of the bacterial physiological response to antibiotics that ultimately causes resistance. Here, we review how bacterial genetic tools can be applied at the genomic level with the goal of profiling resistance to antibiotics and elucidating antibiotic MOAs. Specifically, we highlight how chemical genomic detection of the MOA of novel antibiotic molecules and antibiotic profiling by next-generation sequencing are leveraging basic antibiotic research to unprecedented levels with great opportunities for knowledge translation. | 2015 | 24617440 |
| 9575 | 8 | 0.9998 | Antibiotic resistome of Salmonella typhi: molecular determinants for the emergence of drug resistance. Resistome is a cluster of microbial genes encoding proteins with necessary functions to resist the action of antibiotics. Resistome governs essential and separate biological functions to develop resistance against antibiotics. The widespread clinical and nonclinical uses of antibiotics over the years have combined to select antibiotic-resistant determinants and develop resistome in bacteria. At present, the emergence of drug resistance because of resistome is a significant problem faced by clinicians for the treatment of Salmonella infection. Antibiotic resistome is a dynamic and ever-expanding component in Salmonella. The foundation of resistome in Salmonella is laid long before; therefore, the antibiotic resistome of Salmonella is reviewed, discussed, and summarized. We have searched the literature using PubMed, MEDLINE, and Google Scholar with related key terms (resistome, Salmonella, antibiotics, drug resistance) and prepared this review. In this review, we summarize the status of resistance against antibiotics in S. typhi, highlight the seminal work in the resistome of S. typhi and the genes involved in the antibiotic resistance, and discuss the various methods to identify S. typhi resistome for the proactive identification of this infection and quick diagnosis of the disease. | 2021 | 34085183 |
| 4085 | 9 | 0.9998 | The antibiotic resistome. IMPORTANCE OF THE FIELD: Antibiotics are essential for the treatment of bacterial infections and are among our most important drugs. Resistance has emerged to all classes of antibiotics in clinical use. Antibiotic resistance has, proven inevitable and very often it emerges rapidly after the introduction of a drug into the clinic. There is, therefore, a great interest in understanding the origins, scope and evolution of antibiotic resistance. AREAS COVERED IN THIS REVIEW: The review discusses the concept of the antibiotic resistome, which is the collection of all genes that directly or indirectly contribute to antibiotic resistance. WHAT THE READER WILL GAIN: The review seeks to assemble current knowledge of the resistome concept as a means of understanding the totality of resistance and not just resistance in pathogenic bacteria. TAKE HOME MESSAGE: The concept of the antibiotic resistome provides a framework for the study and understanding of how resistance emerges and evolves. Furthermore, the study of the resistome reveals strategies that can be applied in new antibiotic discoveries. | 2010 | 22827799 |
| 4089 | 10 | 0.9998 | Genetic mechanisms of antibiotic resistance and virulence in Acinetobacter baumannii: background, challenges and future prospects. With the advent of the multidrug-resistant era, many opportunistic pathogens including the species Acinetobacter baumannii have gained prominence and pose a major global threat to clinical health care. Pathogenicity in bacteria is genetically regulated by a complex network of transcription and virulence factors and a brief overview of the major investigations on comprehending these processes over the past few decades in A. baumanni are compiled here. Many investigators have employed genome sequencing techniques to identify the regions that contribute to antibiotic resistance and comparative genomics to study sequence similarities to understand evolutionary trends of resistance gene transfers between isolates. A summary of these studies given here provides an insight into the invasion and successful colonization of the species. The individual roles played by different genes, regulators & promoters, enzymes, metal ions as well as mobile elements in influencing antibiotic resistance are briefly discussed. Precautionary measures and prospects for developing future strategies by exploring promising new research targets in effective control of multidrug resistant A. baumannii are also analyzed. | 2020 | 32303957 |
| 4245 | 11 | 0.9998 | Antimicrobial Resistance in Bacteria: Mechanisms, Evolution, and Persistence. In recent years, we have seen antimicrobial resistance rapidly emerge at a global scale and spread from one country to the other faster than previously thought. Superbugs and multidrug-resistant bacteria are endemic in many parts of the world. There is no question that the widespread use, overuse, and misuse of antimicrobials during the last 80 years have been associated with the explosion of antimicrobial resistance. On the other hand, the molecular pathways behind the emergence of antimicrobial resistance in bacteria were present since ancient times. Some of these mechanisms are the ancestors of current resistance determinants. Evidently, there are plenty of putative resistance genes in the environment, however, we cannot yet predict which ones would be able to be expressed as phenotypes in pathogenic bacteria and cause clinical disease. In addition, in the presence of inhibitory and sub-inhibitory concentrations of antibiotics in natural habitats, one could assume that novel resistance mechanisms will arise against antimicrobial compounds. This review presents an overview of antimicrobial resistance mechanisms, and describes how these have evolved and how they continue to emerge. As antimicrobial strategies able to bypass the development of resistance are urgently needed, a better understanding of the critical factors that contribute to the persistence and spread of antimicrobial resistance may yield innovative perspectives on the design of such new therapeutic targets. | 2020 | 31659373 |
| 4244 | 12 | 0.9998 | Molecular mechanisms of antibiotic resistance. Antibiotic-resistant bacteria that are difficult or impossible to treat are becoming increasingly common and are causing a global health crisis. Antibiotic resistance is encoded by several genes, many of which can transfer between bacteria. New resistance mechanisms are constantly being described, and new genes and vectors of transmission are identified on a regular basis. This article reviews recent advances in our understanding of the mechanisms by which bacteria are either intrinsically resistant or acquire resistance to antibiotics, including the prevention of access to drug targets, changes in the structure and protection of antibiotic targets and the direct modification or inactivation of antibiotics. | 2015 | 25435309 |
| 9463 | 13 | 0.9998 | Predictable and unpredictable evolution of antibiotic resistance. Evolution of bacteria towards antibiotic resistance is unavoidable as it represents a particular aspect of the general evolution of bacteria. Thus, at the very best, the only hope we can have in the field of resistance is to delay dissemination of resistant bacteria or resistance genes. Resistance to antibiotics in bacteria can result from mutations in resident structural or regulatory genes or from horizontal acquisition of foreign genetic information. In this review, we will consider the predictable future of the relationship between bacteria and antibiotics. | 2008 | 18397243 |
| 9406 | 14 | 0.9998 | Proteomics as the final step in the functional metagenomics study of antimicrobial resistance. The majority of clinically applied antimicrobial agents are derived from natural products generated by soil microorganisms and therefore resistance is likely to be ubiquitous in such environments. This is supported by the fact that numerous clinically important resistance mechanisms are encoded within the genomes of such bacteria. Advances in genomic sequencing have enabled the in silico identification of putative resistance genes present in these microorganisms. However, it is not sufficient to rely on the identification of putative resistance genes, we must also determine if the resultant proteins confer a resistant phenotype. This will require an analysis pipeline that extends from the extraction of environmental DNA, to the identification and analysis of potential resistance genes and their resultant proteins and phenotypes. This review focuses on the application of functional metagenomics and proteomics to study antimicrobial resistance in diverse environments. | 2015 | 25784907 |
| 9569 | 15 | 0.9998 | The global epidemic nature of antimicrobial resistance and the need to monitor and manage it locally. An antimicrobial agent may be used for years before a gene expressing resistance to it emerges in a strain of bacteria somewhere. Progeny of that strain, or of others to which the gene is transferred, may then disseminate preferentially through global networks of bacterial populations on people or animals treated with that agent or with other agents as the gene becomes linked to genes expressing resistance to them. Over 100 resistance genes-varying in their frequency of emergence, vectors, linkages, and pathways-have thus emerged, reemerged, converged, and disseminated irregularly through the world's bacterial ecosystems over the last 60 years to reach infecting strains and block treatment of infection. We may delay emergence by using agents less and retard dissemination by good hygiene, infection control measures, and avoidance of agents that select for resistance genes in contiguous populations. Local monitoring and management of resistance appear essential because of the intricacies of tracing and targeting the problems at each place and because national or global surveillance and strategy develop from local information and understanding. | 1997 | 8994775 |
| 9558 | 16 | 0.9998 | Antimicrobial Resistance: Enzymes, Proteins, and Computational Resources. Antimicrobial resistance (AMR) is an important health concern rooted in antibiotic misuse and overuse, resulting in drug-resistant bacteria. However, resistance to these antimicrobials developed as soon as they were administered. Several variables lead to the progression of antimicrobial resistance (AMR), making it a multifaceted challenge for healthcare systems worldwide, such as erroneous diagnosis, inappropriate prescription, incomplete treatment, and many more. Getting an in-depth idea about the mechanism underlying AMR development is essential to overcome this. This review aims to provide information on how various enzymes or proteins aid in the antimicrobial resistance mechanisms and also highlight the clinical perspective of AMR, emphasizing its growing impact on patient outcomes, and incorporate the latest recent data from the World Health Organisation (WHO), underscoring the global urgency of the AMR crisis, with specific attention to trends observed in recent years. Additionally, it is intended to provide ideas about inhibitors that can inhibit the mechanism of antibiotic resistance and also to provide an idea about numerous computational resources available that can be employed to predict genes and/or proteins and enzymes involved in various antibiotic resistance mechanisms. | 2025 | 40770471 |
| 4072 | 17 | 0.9998 | A horizontal transmission of genetic information and its importance for development of antibiotics resistance. Genetic information is transmitted among organisms through two pathways - vertically from generation to generation (from parents to progeny) and horizontally (laterally) by direct exchange of genetic material across species barriers. These are primarily prokaryotes, in which the exchange of genes or whole gene segments by horizontal transmission is quite common. They can dynamically and in a relatively short time generate highly diverse genomes, which does not allow the vertical transmission. As a result, prokaryotes can rapidly acquire new properties such as virulence and pathogenicity as well as resistance to toxins, including antibiotics, by which they increase their adaptability. Therefore, reinfection-resistant microorganisms are always more difficult to treat than infections caused by non-resistant bacteria. Antibiotic resistance today is a global problem of health care service. Not only does the number of diseases caused by resistant pathogenic strains of bacteria increase, but also the cost of treatment increases disproportionately, the length of hospitalization is prolonged, and mortality is often rising. Therefore, when indicating antibiotic therapy, it is important to keep in mind that both overuse and abuse of antibiotics contribute to the spread of antibiotic resistance genes. This is equally true for antibiotic applications in veterinary medicine, agriculture, including aquacultures, or in the food industry. Keywords: horizontal transmission of genetic information, endosymbiosis, antibiotic resistance, risks of the emergence and spread of antibiotic resistance, prevention of antibiotic resistance. | 2018 | 30441943 |
| 9560 | 18 | 0.9998 | The History of Colistin Resistance Mechanisms in Bacteria: Progress and Challenges. Since 2015, the discovery of colistin resistance genes has been limited to the characterization of new mobile colistin resistance (mcr) gene variants. However, given the complexity of the mechanisms involved, there are many colistin-resistant bacterial strains whose mechanism remains unknown and whose exploitation requires complementary technologies. In this review, through the history of colistin, we underline the methods used over the last decades, both old and recent, to facilitate the discovery of the main colistin resistance mechanisms and how new technological approaches may help to improve the rapid and efficient exploration of new target genes. To accomplish this, a systematic search was carried out via PubMed and Google Scholar on published data concerning polymyxin resistance from 1950 to 2020 using terms most related to colistin. This review first explores the history of the discovery of the mechanisms of action and resistance to colistin, based on the technologies deployed. Then we focus on the most advanced technologies used, such as MALDI-TOF-MS, high throughput sequencing or the genetic toolbox. Finally, we outline promising new approaches, such as omics tools and CRISPR-Cas9, as well as the challenges they face. Much has been achieved since the discovery of polymyxins, through several innovative technologies. Nevertheless, colistin resistance mechanisms remains very complex. | 2021 | 33672663 |
| 9492 | 19 | 0.9998 | The Search for 'Evolution-Proof' Antibiotics. The effectiveness of antibiotics has been widely compromised by the evolution of resistance among pathogenic bacteria. It would be restored by the development of antibiotics to which bacteria cannot evolve resistance. We first discuss two kinds of 'evolution-proof' antibiotic. The first comprises literally evolution-proof antibiotics to which bacteria cannot become resistant by mutation or horizontal gene transfer. The second category comprises agents to which resistance may arise, but so rarely that it does not become epidemic. The likelihood that resistance to a novel agent will spread is evaluated here by a simple model that includes biological and therapeutic parameters governing the evolution of resistance within hosts and the transmission of resistant strains between hosts. This model leads to the conclusion that epidemic spread is unlikely if the frequency of mutations that confer resistance falls below a defined minimum value, and it identifies potential targets for intervention to prevent the evolution of resistance. Whether or not evolution-proof antibiotics are ever found, searching for them is likely to improve the deployment of new and existing agents by advancing our understanding of how resistance evolves. | 2018 | 29191398 |