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Editorial highlights advances in understanding membrane dynamics, interactions, and systems biology, emphasizing their complexities.
Our knowledge of cellular membranes and their components' critical role is recent and so far, unfinished. Bilayers of lipids were proposed less than 100 years ago (Gorter & Grendel, 1925). Fundamental issues such as membrane organization, explained in part, for example, by the revolutionary "fluid mosaic model" is just 50 years old (Singer & Nicolson, 1972). Many other fundamental aspects are still a heated source of debate and discovery (Nicolson, 2014;Nieto-Garai et al., 2022). Today, we know that biological membranes are much more complex than any catch-all model, and almost every new investigation confirms this idea. In light of this, it is clear that more advanced experimental methods and more complex computational models, as well as finding ways to integrate the former two, are essential for the future of biological membrane research. This short research topic showcases four studies that employ various methods to investigate membranerelated phenomena. Polasa et al. use an extensive set of equilibrium and non-equilibrium molecular dynamics simulations to describe the conformational changes in the YidC during membrane insertion (Polasa et al., 2022). Similarly, Li et al. consider the effect of cholesterol and membrane composition on C99 dimerization with ramifications in Alzheimer's disease (Li et al., 2022). Be it atomistic or coarse-grained, molecular dynamics uses a physics-based approach to describe the interaction between molecular moieties of interest explicitly with an outstanding resolution. Aslam and Alvi present a different computational approach based on systems biology. Such mathematical modeling allowed the complete exploration of a novel postsynaptic channel for glutamatergic synaptic transmission and its effector molecules composed of ions, diacylglycerides, and protein kinases (Aslam & Alvi, 2022). Unlike molecular dynamics, systems biology works at much larger scales and aims to characterize emergent phenomena from complex and interdependent processes and interactions in biological systems. Advancing our knowledge of membrane-related processes depends on experimental methods as well. The research topic includes the purely experimental work by Kuralkin et al., who studied lipid vesicle and divalent ion interactions (Kurakin et al., 2022). This process is of paramount importance in signaling and membrane structure. Overall, we show that advancement in membrane research requires synergies from widespread techniques.
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Enkavi et al. (2023) studied this question.
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