Biology subjects

Salah, E.

Publications and source records attributed to Salah, E..

3 recordsLinked to original sources

bioRxiv2025

Inhibition of systemic mammalian metabolism by carnitine mimics from the gut microbiota

BackgroundThe gut microbiota and microbiome-derived metabolites are implicated in various aspects of human health. Here we sought to determine the systemic effects, and mechanism of action, of microbiome-derived carnitine analogues in germ free and conventionally colonised mice. ResultsHere we report the systemic localization of the microbiome-derived carnitine analogues, 3-methyl-4-(trimethylammonio)butanoate (3M-4-TMAB) and 5-aminovalerate betaine (5-AVAB), post-administration to germ free mice, with systemic carnitine depletion and mitochondrial dysregulation, reflected in altered acylcarnitine profiles due to incomplete carnitine-mediated fatty acid oxidation. Studies on the inhibitory potency of 3M-4-TMAB at the enzymatic, cellular, and organism levels indicate that, in part, this is a result of inhibition of gammabutyrobetaine hydroxylase, which catalyses the final step in carnitine biosynthesis. Systemic administration of 13C- labelled 3M-4-TMAB to conventionally colonised animals to further investigate the physiological relevance of this inhibition, identified a significant reduction in systemic carnitine levels due to increased excretion in urine and faeces and disruption of carnitine-mediated metabolism across ten organs. ConclusionsThese results highlight the physiological relevance and significance of microbiome-derived metabolites in vivo. The depletion of carnitine and inhibition of its function have potentially long-term impacts on both mammalian energy generation and the protective, signalling and immune regulatory effects of this critical molecule.

microbiology↗

bioRxiv2025

obABPP-HT*: A Precision-Engineered Activity Proteomics Pipeline for the Streamlined Discovery of Deubiquitinase Inhibitors

Deubiquitinases (DUBs), and the dysregulation thereof, are implicated in human disease. The recent inclusion of selective DUB inhibitors in clinical trials has heightened interest in DUB-focused drug discovery. Current DUB screening methods remain constrained, however, as they often rely on recombinant proteins that are truncated or derived from non-human sources, typically necessitating extensive optimisation of initial hits. We introduce a high-throughput, endogenous human DUB-focused activity proteomics workflow designed for the simultaneous screening and profiling of small, targeted libraries of catalytic group-reactive compounds. In a proof-of-concept screen, this innovative platform expanded the repertoire of electrophilic groups targeting DUBs, leading to the discovery of potent and selective inhibitors for USP47, OTUD7B, and USP5. Remarkably, these inhibitors required minimal or no optimisation to confirm the previously reported biological roles of the three DUBs, underscoring the advantages of this methodology for drug discovery applications.

biochemistry↗

bioRxiv2021

Discovery of SARS-CoV-2 Mpro Peptide Inhibitors from Modelling Substrate and Ligand Binding

The main protease (Mpro) of SARS-CoV-2 is central to its viral lifecycle and is a promising drug target, but little is known concerning structural aspects of how it binds to its 11 natural cleavage sites. We used biophysical and crystallographic data and an array of classical molecular mechanics and quantum mechanical techniques, including automated docking, molecular dynamics (MD) simulations, linear-scaling DFT, QM/MM, and interactive MD in virtual reality, to investigate the molecular features underlying recognition of the natural Mpro substrates. Analyses of the subsite interactions of modelled 11-residue cleavage site peptides, ligands from high-throughput crystallography, and designed covalently binding inhibitors were performed. Modelling studies reveal remarkable conservation of hydrogen bonding patterns of the natural Mpro substrates, particularly on the N-terminal side of the scissile bond. They highlight the critical role of interactions beyond the immediate active site in recognition and catalysis, in particular at the P2/S2 sites. The binding modes of the natural substrates, together with extensive interaction analyses of inhibitor and fragment binding to Mpro, reveal new opportunities for inhibition. Building on our initial Mpro-substrate models, computational mutagenesis scanning was employed to design peptides with improved affinity and which inhibit Mpro competitively. The combined results provide new insight useful for the development of Mpro inhibitors.

bioinformatics↗