ABSTRACT
The rapid spread of COVID-19 has dramatically changed our perspective about how we should be well prepared for upcoming health disasters in the future. Like COVID-19, the world does not seem prepared to fight the slow-moving pandemic, i.e., antimicrobial resistance (AMR). At present, more than 7, 00, 000 people per year across the globe succumb to drug-resistant infections. According to several reports, if we fail to respond, AMR could lead to the loss of ten million lives and trillions of money by 2050. Among the different pathogens affecting human health, the World Health Organization (WHO) has recently announced a priority list of drug-resistant bacteria to pave the way for the development of new antibiotics. Gram-negative bacteria such as Escherichia coli, Klebsiella pneumoniae, Acinetobacter baumannii, and Pseudomonas aeruginosa are the most notorious ones and are responsible for the majority of healthcare-associated infections. These pathogens come under the critical threat category because they express resistance to all of the current antibiotics. The modern combinatorial chemistry approaches and chemical genomics have been unsuccessful to provide enough new antibiotics. In stark contrast to this, natural products have been gifted with remarkable chemical diversity and biological activity. Our modern antibiotic armamentarium was built from microbes' natural products, especially Streptomyces spp. and Bacillus spp. isolated in the golden era. Today, the antibiotic discovery pipeline has almost dried up, in part due to the rediscovery of already known compounds from bacteria, and no new classes emerged from bacteria until recently. These novel natural antibacterial agents from bacteria resurged a spark in the exploitation of bacteria to find new chemical entities. This chapter mainly focuses on natural antimicrobials and adjuvants isolated from the bacterial domain in the last two decades, i.e., from 2001 to 2020, and their status to fight drug-resistant Gram-negative superbugs. We have also described briefly the discovery of synthetic compounds based on natural scaffolds. In conclusion, the bacterial natural products comprise a goldmine to fight superbugs, and future research should be focused on exploring new antimicrobials from bacterial diversity. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022.
ABSTRACT
A quick user-friendly application of any pandemic situation can reduce the huge value of mortality with producing the graph of cases. Simple database application can make sense to the people about the pandemic and transmissions. This research aimed to develop a simple application which shows the real-time cases of COVID-19 and analyzes different states condition of India and a proper graphical prediction of cases. This application notifies people to get alert about the transmission and precautions to get rid of this pandemic. This application also helps clinical doctors, ministry and decision makers to improve the gap of any unfilled section. We have used the platform of APEX Oracle to develop this application and analyzed the dataset. The accuracy of the data is 78% rather than any other existing techniques. Combining the application and advance techniques, this study can create a vital framework for the prediction of any pandemics. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
A quick user-friendly application of any pandemic situation can reduce the huge value of mortality with producing the graph of cases. Simple database application can make sense to the people about the pandemic and transmissions. This research aimed to develop a simple application which shows the real-time cases of COVID-19 and analyzes different states condition of India and a proper graphical prediction of cases. This application notifies people to get alert about the transmission and precautions to get rid of this pandemic. This application also helps clinical doctors, ministry and decision makers to improve the gap of any unfilled section. We have used the platform of APEX Oracle to develop this application and analyzed the dataset. The accuracy of the data is 78% rather than any other existing techniques. Combining the application and advance techniques, this study can create a vital framework for the prediction of any pandemics. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.