Mammalian cytochromes P450 are an important class of enzymes involved in the biotransformation of many endo- and exogenous compounds. Cytochrome P450 isoforms are attached to the membrane of the endoplasmic reticulum or mitochondria, and their catalytic domains move along the membrane surface while being partially immersed in the membrane environment. Their active sites are connected to both the membrane and cytosolic environments via a complex network of access channels. Consequently, they can accept substrates from both environments. The membrane also supports the interactions of cytochromes P450 with their redox partners. In this review, we provide an overview of current knowledge of the structure, flexibility, and interactions with substrates and redox partners of cytochrome P450 on membranes, amalgamating information derived from both experiments and simulations.
Recent advances in RNA-based medicine
have provided new opportunities
for the global current challenge, i.e., the COVID-19 pandemic. Novel
vaccines are based on a messenger RNA (mRNA) motif with a lipid nanoparticle
(LNP) vector, consisting of high content of unique pH-sensitive ionizable
lipids (ILs). Here we provide molecular insights into the role of
the ILs and lipid mixtures used in current mRNA vaccines. We observed
that the lipid mixtures adopted a nonlamellar organization, with ILs
separating into a very disordered, pH-sensitive phase. We describe
structural differences of the two ILs leading to their different congregation,
with implications for the vaccine stability. Finally, as RNA interacts
preferentially with IL-rich phases located at the regions with high
curvature of lipid phase, local changes in RNA flexibility and base
pairing are induced by lipids. A proper atomistic understanding of
RNA–lipid interactions may enable rational tailoring of LNP
composition for efficient RNA delivery.
Biological membranes act as barriers or reservoirs for many compounds within the human body. As such, they play an important role in pharmacokinetics and pharmacodynamics of drugs and other molecular species. Until now, most membrane/drug interactions have been inferred from simple partitioning between octanol and water phases. However, the observed variability in membrane composition and among compounds themselves stretches beyond such simplification as there are multiple drug–membrane interactions. Numerous experimental and theoretical approaches are used to determine the molecule–membrane interactions with variable accuracy, but there is no open resource for their critical comparison. For this reason, we have built Molecules on Membranes Database (MolMeDB), which gathers data about over 3600 compound–membrane interactions including partitioning, penetration and positioning. The data have been collected from scientific articles published in peer-reviewed journals and complemented by in-house calculations from high-throughput COSMOmic approach to set up a baseline for further comparison. The data in MolMeDB are fully searchable and browsable by means of name, SMILES, membrane, method or dataset and we offer the collected data openly for further reuse and we are open to further additions. MolMeDB can be a powerful tool that could help researchers better understand the role of membranes and to compare individual approaches used for the study of molecule/membrane interactions.
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