Unrealized targets in the discovery of antibiotics for gram-negative bacterial infections

U Theuretzbacher, B Blasco, M Duffey… - Nature Reviews Drug …, 2023 - nature.com
Advances in areas that include genomics, systems biology, protein structure determination
and artificial intelligence provide new opportunities for target-based antibacterial drug …

[HTML][HTML] The role and potential of computer-aided drug discovery strategies in the discovery of novel antimicrobials

SO Oselusi, P Dube, AI Odugbemi, KA Akinyede… - Computers in biology …, 2024 - Elsevier
Antimicrobial resistance (AMR) has become more of a concern in recent decades,
particularly in infections associated with global public health threats. The development of …

Antibacterial theranostic agents with negligible living cell invasiveness: AIE-active cationic amphiphiles regulated by alkyl chain engineering

Z Zhuang, Z Meng, J Li, P Shen, J Dai, X Lou, F Xia… - ACS …, 2022 - ACS Publications
To address the threat of bacterial infection in the following post-antibiotic era, developing
effective antibacterial approaches is of utmost urgency. Theranostic medicine integrating …

From Data to Decisions: Leveraging Artificial Intelligence and Machine Learning in Combating Antimicrobial Resistance–a Comprehensive Review

JMP de la Lastra, SJT Wardell, T Pal… - Journal of medical …, 2024 - Springer
The emergence of drug-resistant bacteria poses a significant challenge to modern medicine.
In response, Artificial Intelligence (AI) and Machine Learning (ML) algorithms have emerged …

[HTML][HTML] Chatting with artificial intelligence to combat antibiotic resistance: Opportunities and challenges

M Abavisani, A Khoshrou, SK Foroushan… - Current Research in …, 2024 - Elsevier
Antibiotic resistance (ABR) is a dire global health crisis, undermining the efficacy of
antibiotics and ranking among the top ten public health threats according to the World …

In vitro antimicrobial activity and resistance mechanisms of the new generation tetracycline agents, eravacycline, omadacycline, and tigecycline against clinical …

W Zeng, X Zhang, Y Liu, Y Zhang, M Xu… - Frontiers in …, 2022 - frontiersin.org
In this study, we investigated the in vitro activity and resistance mechanisms of the new
generation tetracycline agents, namely eravacycline, omadacycline, and tigecycline, against …

From drugs to targets: Reverse engineering the virtual screening process on a proteomic scale

G Schottlender, JM Prieto, MC Palumbo… - Frontiers in Drug …, 2022 - frontiersin.org
Phenotypic screening is a powerful technique that allowed the discovery of antimicrobials to
fight infectious diseases considered deadly less than a century ago. In high throughput …

Integrating diverse layers of omic data to identify novel drug targets in Listeria monocytogenes

M Palumbo, E Sosa, F Castello… - Frontiers in Drug …, 2022 - frontiersin.org
Listeria monocytogenes (Lm) is a Gram-positive bacillus responsible for listeriosis in
humans. Listeriosis has become a major foodborne illness in recent years. This illness is …

A systematic overview of strategies for photosensitizer and light delivery in antibacterial photodynamic therapy for lung infections

MO Shleeva, GR Demina, AP Savitsky - Advanced Drug Delivery Reviews, 2024 - Elsevier
Antimicrobial photodynamic therapy (aPDT) emerges as a viable treatment strategy for
infections resistant to conventional antibiotics. A complex interplay of factors, including …

Progress in the Identification and Design of Novel Antimicrobial Peptides Against Pathogenic Microorganisms

S Sun - Probiotics and Antimicrobial Proteins, 2024 - Springer
The occurrence and spread of antimicrobial resistance (AMR) pose a looming threat to
human health around the world. Novel antibiotics are urgently needed to address the AMR …