Machine learning approaches to optimize small-molecule inhibitors for RNA targeting

In the era of data science, data-driven algorithms have emerged as powerful platforms that can consolidate bioisosteric rules for preferential modifications on small molecules with a common molecular scaffold. Here we present complementary data-driven algorithms to minimize the search in chemical space for phenylthiazole-containing molecules that bind the RNA hairpin within the ribosomal peptidyl transferase center (PTC) of Mycobacterium tuberculosis. Our results indicate visual, geometrical, and chemical features that enhance the binding to the targeted RNA. Functional validation was conducted after synthesizing 10 small molecules pinpointed computationally. Four of the 10 were found to be potent inhibitors that target hairpin 91 in the ribosomal PTC of M. tuberculosis and, as a result, stop translation.

The bacterial metalloprotease NleD selectively cleaves mitogen-activated protein kinases that have high flexibility in their activation loop

Microbial pathogens often target the host mitogen-activated protein kinase (MAPK) network to suppress host immune responses. We previously identified a bacterial type III secretion system effector, termed NleD, a metalloprotease that inactivates MAPKs by specifically cleaving their activation loop. Here, we show that NleDs form a growing family of virulence factors harbored by human and plant pathogens as well as insect symbionts. These NleDs disable specifically Jun N-terminal kinases (JNKs) and p38s that are required for host immune response, whereas extracellular signal-regulated kinase (ERK), which is essential for host cell viability, remains intact. We investigated the mechanism that makes ERK resistant to NleD cleavage. Biochemical and structural analyses revealed that NleD exclusively targets activation loops with high conformational flexibility. Accordingly, NleD cleaved the flexible loops of JNK and p38 but not the rigid loop of ERK. Our findings elucidate a compelling mechanism of native substrate proteolysis that is promoted by entropy-driven specificity. We propose that such entropy-based selectivity is a general attribute of proteolytic enzymes.

Subversion of MAPK signaling by pathogenic bacteria

Bacterial components are recognized by host pattern recognition receptors that trigger signaling cascades, leading to inflammation and eradication of the bacteria. The main proinflammatory signaling pathway is the MAP kinase (MAPK)/NF-κB interwoven cascades, which result in transcription of pro-inflammatory genes. Many bacteria have evolved to interfere with the immune response through a mechanism that involves delivery of virulent proteins to the host cells. These proteins posttranslationally modify key components in the host signaling cascades. This review will describe bacterial strategies to directly manipulate host MAPK signaling, summarizing recent discoveries in the field.

In vitro and in vivo model systems for studying enteropathogenic Escherichia coli infections

Enteropathogenic Escherichia coli (EPEC) and enterohemorrhagic E. coli (EHEC) belong to a group of bacteria known as attaching and effacing (A/E) pathogens that cause disease by adhering to the lumenal surfaces of their host's intestinal epithelium. EPEC and EHEC are major causes of infectious diarrhea that result in significant childhood morbidity and mortality worldwide. Recent advances in in vitro and in vivo modeling of these pathogens have contributed to our knowledge of how EPEC and EHEC attach to host cells and subvert host-cell signaling pathways to promote infection and cause disease. A more detailed understanding of how these pathogenic microbes infect their hosts and how the host responds to infection could ultimately lead to new therapeutic strategies to help control these significant enteric pathogens.

Metalloprotease type III effectors that specifically cleave JNK and NF-κB

Two major arms of the inflammatory response are the NF-κB and c-Jun N-terminal kinase (JNK) pathways. Here, we show that enteropathogenic Escherichia coli (EPEC) employs the type III secretion system to target these two signalling arms by injecting host cells with two effector proteins, NleC and NleD. We provide evidence that NleC and NleD are Zn-dependent endopeptidases that specifically clip and inactivate RelA (p65) and JNK, respectively, thus blocking NF-κB and AP-1 activation. We show that NleC and NleD co-operate and complement other EPEC effectors in accomplishing maximal inhibition of IL-8 secretion. This is a remarkable example of a pathogen using multiple effectors to manipulate systematically the host inflammatory response signalling network.