Zidovudine-ß-Lactam Pronucleoside Strategy for Selective Delivery into Gram-Negative Bacteria Triggered by ß-Lactamases.

Addressing antibacterial resistance is a major concern of the modern world. The development of new approaches to meet this deadly threat is a critical priority. In this article, we investigate a new approach to negate bacterial resistance: exploit the ß-lactam bond cleavage by ß-lactamases to selectively trigger antibacterial prodrugs into the bacterial periplasm. Indeed, multidrug-resistant Gram-negative pathogens commonly produce several ß-lactamases that are able to inactivate ß-lactam antibiotics, our most reliable and widely used therapeutic option. The chemical structure of these prodrugs is based on a monobactam promoiety, covalently attached to the active antibacterial substance, zidovudine (AZT). We describe the synthesis of 10 prodrug analogues (5a-h) in four to nine steps and their biological activity. Selective enzymatic activation by a panel of ß-lactamases is demonstrated, and subsequent structure-activity relationships are discussed. The best compounds are further evaluated for their activity on both laboratory strains and clinical isolates, preliminary stability, and toxicity.

Discovering NDM-1 inhibitors using molecular substructure embeddings representations.

NDM-1 (New-Delhi-Metallo-ß-lactamase-1) is an enzyme developed by bacteria that is implicated in bacteria resistance to almost all known antibiotics. In this study, we deliver a new, curated NDM-1 bioactivities database, along with a set of unifying rules for managing different activity properties and inconsistencies. We define the activity classification problem in terms of Multiple Instance Learning, employing embeddings corresponding to molecular substructures and present an ensemble ranking and classification framework, relaying on a k-fold Cross Validation method employing a per fold hyper-parameter optimization procedure, showing promising generalization ability. The MIL paradigm displayed an improvement up to 45.7 %, in terms of Balanced Accuracy, in comparison to the classical Machine Learning paradigm. Moreover, we investigate different compact molecular representations, based on atomic or bi-atomic substructures. Finally, we scanned the Drugbank for strongly active compounds and we present the top-15 ranked compounds.

Synthesis of histidine kinase inhibitors and their biological properties.

Infections caused by multidrug-resistant bacteria represent a significant and ever-increasing cause of morbidity and mortality. There is thus an urgent need to develop efficient and well-tolerated antibacterials targeting unique cellular processes. Numerous studies have led to the identification of new biological targets to fight bacterial resistance. Two-component signal transduction systems are widely employed by bacteria to translate external and cellular signals into a cellular response. They are ubiquitous in bacteria, absent in the animal kingdom and are integrated into various virulence pathways. Several chemical series, including isothiazolidones, imidazolium salts, benzoxazines, salicylanilides, thiophenes, thiazolidiones, benzimidazoles, and other derivatives deduced by different approaches have been reported in the literature to have histidine kinase (HK) inhibitory activity. In this review, we report on the design and the synthesis of these HKs inhibitors and their potential to serve as antibacterial agents.

Improved synthesis, resolution, absolute configuration determination and biological evaluation of HLM006474 enantiomers.

An improved green synthesis of the E2F inhibitor HLM0066474 is described, using solvent-free and microwave irradiation conditions. The two enantiomers are separated using semi-preparative separation on Chiralpak ID and their absolute configuration is determined by vibrational circular dichroism (VCD) analysis. Biological evaluation of both enantiomers on E2F1 transcriptional activity reveals that the (+)-R, but not the (-)-S enantiomer is biologically active in repressing E2F1 transcriptional activity.