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Masirevic, S.

Publications and source records attributed to Masirevic, S..

2 recordsLinked to original sources

A Multiscale Framework for Uncovering Surfactant Mediated Viral Capsid Disruption

Disinfection remains a critical strategy for controlling the transmission of infectious diseases. However, small non-enveloped viruses exhibit exceptional resistance to many disinfectants, often requiring harsh protein-disrupting chemicals for effective inactivation, thereby limiting their applicability in personal care products due to associated side effects. Sodium dodecyl sulphate (SDS) is a widely used anionic surfactant known for its virucidal efficacy; however, the molecular details of its action against robust non-enveloped viruses remain poorly understood, limiting efforts to design safer and more targeted antiviral formulations. In this study, a multiscale simulation approach combining a novel atomic-resolution icosahedral "scaffold framework" and coarse-grained modelling was developed to elucidate the mechanism of SDS-driven disruption of MS2 bacteriophage capsid, a surrogate for non-enveloped viruses. Experimental analyses including dynamic light scattering and transmission electron microscopy revealed that SDS inactivates MS2 in a strongly pH-dependent manner, triggering capsid disassembly at acidic pH while leaving particles largely intact at neutral pH. Molecular dynamics simulations demonstrated that SDS micelles preferentially associate with hexameric pores and inter-dimer clefts under acidic conditions, where protonation of acidic residues weakens the electrostatic network of the capsid surface. Together, these findings provide a detailed molecular framework for SDS virucidal action and highlight the importance of environmental pH in modulating surfactant-virus interactions. These insights offer a foundation for designing next-generation antiviral surfactants with improved efficacy and biocompatibility.

biophysics↗

Comparative study of protein X-ray and NMR structures: molecular docking-based virtual screening

Molecular docking-based virtual ligand screening is a powerful computational approach for identifying potential binders from large chemical libraries. Protein structures used in docking screens are commonly derived from X-ray crystallography or NMR spectroscopy, yet their impact on screening performance remains unclear. To address this, we conducted virtual screening using Glide against both apo and holo X-ray and NMR structures of 18 proteins. While no statistically significant difference in screening performance was observed for apo structures overall, X-ray apo structures tended to perform better in cases where better ligand enrichment than random selection was achieved. Similarly, single holo X-ray and NMR structures did not exhibited statistically significant difference in screening performance either. However, when multiple holo X-ray structures and NMR conformers (from one PDB ensemble) per protein were used, X-ray structures outperformed NMR conformers in most cases. In addition, for consensus enrichment which leverages multiple structures/conformers per protein to optimise ligand ranking, X-ray holo structures exhibited better performance than NMR holo conformers, suggesting that X-ray structures with chemically diverse co-crystalized ligands may introduce more relevant binding-site configurations than the NMR conformers with higher structural diversity but the same bound ligand. Overall, the better performance by X-ray holo structures could be partially attributed to the higher numbers of hydrogen bonds and hydrophobic contacts, formed between proteins and docked ligands.

bioinformatics↗