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Mavridou, D. A. I.

Publications and source records attributed to Mavridou, D. A. I..

7 recordsLinked to original sources

Learning from human and chemical languages to predict biological function

Understanding how molecular structure encodes biological function remains a grand challenge in drug discovery. Here, we present PubCheF-1, a deep learning model that predicts literature-derived biological function directly from chemical structure. PubCheF-1 was trained on a dataset linking molecules to labels derived from the scientific articles in which they appear, a strategy that connects disparate compounds through the language used to describe their functionalities. When tasked with identifying inhibitors of {beta}-lactamases, including enzymes considered largely refractory to inhibition, PubCheF-1 predicted structurally distinct compounds that collectively have activity against all {beta}-lactamase classes. Furthermore, hit compounds directly bind the enzyme active site, restore antibiotic efficacy in multidrug-resistant high-priority pathogens, and demonstrate potent activity in animal infection models. Together, these findings establish that machine learning-based prediction of biological function derived from the language of scientific literature allows the identification of bioactive molecules at high hit rates, thereby accelerating therapeutic discovery.

bioinformatics↗

Molecular determinants of dynamic protein-protein interactions in the functional cycle of the membrane protein DsbD

Molecular recognition is of central importance in biology. The molecular determinants shaping recognition of one protein domain by another are incompletely understood, especially in the context of the complex function of molecular machines. Here, we combine NMR experiments and molecular dynamics simulations to elucidate the determinants of recognition of the C-terminal (cDsbD) domain of the transmembrane reductant conductor DsbD by its cognate partner, the N-terminal domain of the protein (nDsbD). As part of the natural cycle of this oxidoreductase, which effectively transfers electrons from the cytoplasm to the periplasm of Gram-negative bacteria, cDsbD and nDsbD toggle between oxidised and reduced states, something that modulates the affinity of the domains for each other and prevents otherwise unproductive reactions. We find that the redox state of cDsbD determines the dissociation rate of cDsbD-nDsbD complexes. Molecular dynamics simulations demonstrate how the redox-state of the active site determines the stability of inter-domain hydrogen bonds and thus the dissociation rate. AlphaFold modelling and atomistic molecular dynamics simulations of full-length DsbD in a realistic bacterial membrane again highlights the close proximity of the periplasmic domains and the importance of tuning the strength of the interactions of the periplasmic domains to enable electron transfer to cognate periplasmic partners such as CcmG. Our AlphaFold models are consistent with in vivo functional assays of DsbD mutants, which together help to reveal for the first-time a putative binding site for thioredoxin on the cytoplasmic side of DsbD.

biophysics↗

Breaking antimicrobial resistance by disrupting extracytoplasmic protein folding

Antimicrobial resistance in Gram-negative bacteria is one of the greatest threats to global health. New antibacterial strategies are urgently needed, and the development of antibiotic adjuvants that either neutralize resistance proteins or compromise the integrity of the cell envelope is of ever-growing interest. Most available adjuvants are only effective against specific resistance proteins. Here we demonstrate that disruption of cell envelope protein homeostasis simultaneously compromises several classes of resistance determinants. In particular, we find that impairing DsbA-mediated disulfide bond formation incapacitates diverse {beta}-lactamases and destabilizes mobile colistin resistance enzymes. Furthermore, we show that chemical inhibition of DsbA sensitizes multidrug-resistant clinical isolates to existing antibiotics and that the absence of DsbA, in combination with antibiotic treatment, substantially increases the survival of Galleria mellonella larvae infected with multidrug- resistant Pseudomonas aeruginosa. This work lays the foundation for the development of novel antibiotic adjuvants that function as broad-acting resistance breakers. IMPACT STATEMENTDisruption of disulfide bond formation sensitizes resistant Gram- negative bacteria expressing {beta}-lactamases and mobile colistin resistance enzymes to currently available antibiotics.

microbiology↗

Droplet printing reveals the importance of micron-scale structure for bacterial ecology

Bacteria often live in diverse communities where the spatial arrangement of strains and species is considered critical for their ecology, including whether strains can coexist, which are ecologically dominant, and how productive they are as a community1,2. However, a test of the importance of spatial structure requires manipulation at the fine scales at which this structure naturally occurs3-8. Here we develop a droplet-based printing method to arrange different bacterial genotypes across a sub-millimetre array. We use this to test the importance of fine-scale spatial structure by printing strains of the gut bacterium Escherichia coli that naturally compete with one another using protein toxins9,10. This reveals that the spatial arrangement of bacterial genotypes is important for ecological outcomes. Toxin-producing strains largely eliminate susceptible non-producers when genotypes are well-mixed. However, printing strains side-by-side creates an ecological refuge such that susceptible strains can coexist with toxin producers, even to the extent that a susceptible strain outnumbers the toxin producer. Head-to-head competitions between toxin producers also reveals strong effects, where spatial structure can make the difference between one strain winning and mutual destruction. Finally, we print different potential barriers between two competing strains to understand why space is so important. This reveals the importance of processes that limit the free diffusion of molecules. Specifically, we show that cells closest to a toxin producer bind to and capture toxin molecules, which creates a refuge for their clonemates. Our work provides a new method to generate customised bacterial communities with defined spatial distributions, and reveals that micron-scale changes in these distributions can drive major shifts in their ecology.

microbiology↗

Novel structural components generate distinct type VI secretion system anchoring modes

The type VI secretion system (T6SS) is a phage-derived contractile nanomachine primarily involved in interbacterial competition. Its pivotal component, TssA, is indispensable for the assembly of the T6SS sheath structure, the contraction of which propels a payload of effector proteins into neighboring cells. Despite their key function, TssA proteins exhibit unexpected diversity and exist in two major forms, a short (TssAS) and a long (TssAL) TssA. Whilst TssAL proteins interact with a partner, called TagA, to anchor the distal end of the extended sheath, the mechanism for the stabilization of TssAS-containing T6SSs remains unknown. Here we discover a novel class of structural components that interact with short TssA proteins and contribute to T6SS assembly by stabilizing the polymerizing sheath from the baseplate. We demonstrate that the presence of these components is important for full sheath extension and optimal firing. Moreover, we show that the pairing of each form of TssA with a different class of sheath stabilization proteins results in T6SS apparatuses that either reside in the cell for a while or fire immediately after sheath extension, thus giving rise to different aggression behaviors. We propose that this functional diversity could contribute to the specialization of the T6SS to suit bacterial lifestyles in diverse environmental niches.

microbiology↗

Discovery of a Pseudomonas aeruginosa Type VI secretion system toxin targeting bacterial protein synthesis using a global genomics approach

The Type VI secretion system (T6SS) is a bacterial weapon which delivers toxic effectors to kill competitors or subvert some of their key functions. Here we use transposon directed insertion-site sequencing (TraDIS) to identify T6SS toxins associated with the H1-T6SS, one of the three T6SS machines found in Pseudomonas aeruginosa. This approach identified several putative toxin-immunity pairs, including Tse8-Tsi8. Full characterization of this protein pair demonstrated that Tse8 is delivered by the VgrG1a spike complex into prey cells where it targets the transamidosome, a multiprotein complex involved in protein synthesis in bacteria lacking either one or both of the asparagine or glutamine tRNA synthases. Our data suggests that Tse8 combines as a non-cognate component of the transamidosome complex, reducing fitness by limiting the ability of the cell to synthesize proteins. This is the first demonstration of a T6SS toxin affecting protein synthesis, expanding the range of cellular components targeted by this bacterial weapon. The success of the current study validates the use of our TraDIS approach as a tool to drastically expand the repertoire of T6SS toxins in any T6SS-encoding bacterium.

microbiology↗

Local frustration determines loop opening in protein-protein association

Local structural frustration, the existence of mutually exclusive competing interactions, may explain why some proteins are dynamic while others are rigid. Frustration is thought to underpin biomolecular recognition and the flexibility of protein binding sites. Here we show how a small chemical modification, the oxidation of two cysteine thiols to a disulfide bond, during the catalytic cycle of the N-terminal domain of the key bacterial oxidoreductase DsbD (nDsbD), introduces frustration ultimately influencing protein function. In oxidized nDsbD, local frustration disrupts the packing of the protective cap-loop region against the active site allowing loop opening. By contrast, in reduced nDsbD the cap loop is rigid, always protecting the active-site thiols from the oxidizing environment of the periplasm. Our results point towards an intricate coupling between the dynamics of the active-site cysteines and of the cap loop which modulates the association reactions of nDsbD with its partners resulting in optimized protein function.

biophysics↗