We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Nanoplastics and Biostructures: Exploring the Capabilities of MD Computer Simulations
Summary
Tiny plastic particles from pollution can get inside our bodies and stick to proteins and cell membranes, potentially messing with how they normally work. This review paper uses advanced computer simulations to zoom in on exactly how nanoplastics latch onto and distort these biological building blocks at the atomic level, which helps scientists better understand the health risks—like inflammation and cell damage—linked to plastic exposure without having to rely solely on animal or lab testing.
Micro‑ and nanoplastics (MNPs) represent a class of emerging contaminants whose diminutive dimensions, extensive surface area, and chemical resilience facilitate intimate interactions with biomacromolecules. Owing to their ability to traverse biological barriers, MNPs accumulate in tissues and directly engage proteins, nucleic acids, and lipid assemblies, thereby perturbing structure and function. Nanoplastics, in par-ticular, adsorb onto protein surfaces, disrupt secondary and tertiary conformations, and partition within lipid bilayers. Molecular dynamics (MD) simulations provide atom-istic insight into these processes–adsorption, corona formation, membrane insertion, and conformational modulation-complementing in vitro, in vivo, and epidemiological investigations. Current knowledge on MNP‑induced alterations of protein architecture and membrane integrity is synthesized, integrating toxicological data, biophysical measurements, and MD results. A streamlined MD workflow is presented for nanoplastic–protein and nanoplastic–membrane systems, outlining key structural, thermodynamic, and dynamical observables (e.g., protein RMSD, membrane order parameters, surface coverage, interaction energies) that correlate with experimental endpoints such as enzy-matic inhibition, membrane leakage, oxidative stress, and inflammation. Finally, conceptual and methodological challenges in linking atomistic mechanisms to adverse out-come pathways and risk assessment are discussed.