Scientific and consumer interest in healthy foods (also known as functional foods), nutraceuticals and cosmeceuticals has increased in the recent years, leading to an increased presence of these products in the market. However, the regulations across different countries that define the type of claims that may be made, and the degree of evidence required to support these claims, are rather inconsistent. Moreover, there is also controversy on the effectiveness and biological mode of action of many of these products, which should undergo an exhaustive approval process to guarantee the consumer rights. Computational approaches constitute invaluable tools to facilitate the discovery of bioactive molecules and provide biological plausibility on the mode of action of these products. Indeed, methodologies like QSAR, docking or molecular dynamics have been used in drug discovery protocols for decades and can now aid in the discovery of bioactive food components. Thanks to these approaches, it is possible to search for new functions in food constituents, which may be part of our daily diet, and help to prevent disorders like diabetes, hypercholesterolemia or obesity. In the present manuscript, computational studies applied to this field are reviewed to illustrate the potential of these approaches to guide the first screening steps and the mechanistic studies of nutraceutical, cosmeceutical and functional foods. Graphical Abstract

Following a rational design, a series of macrocyclic ("stapled") peptidomimetics of ¹⁰Panx1, the most established peptide inhibitor of Pannexin1 (Panx1) channels, were developed and synthesized. Two macrocyclic analogues SBL-PX1-42 and SBL-PX1-44 outperformed the linear native peptide. During in vitro adenosine triphosphate (ATP) release and Yo-Pro-1 uptake assays in a Panx1-expressing tumor cell line, both compounds were revealed to be promising bidirectional inhibitors of Panx1 channel function, able to induce a two-fold inhibition, as compared to the native ¹⁰Panx1 sequence. The introduction of triazole-based cross-links within the peptide backbones increased helical content and enhanced in vitro proteolytic stability in human plasma (>30-fold longer half-lives, compared to ¹⁰Panx1). In adhesion assays, a "double-stapled" peptide, SBL-PX1-206 inhibited ATP release from endothelial cells, thereby efficiently reducing THP-1 monocyte adhesion to a TNF-α-activated endothelial monolayer and making it a promising candidate for future in vivo investigations in animal models of cardiovascular inflammatory disease.

The Flavivirus genus comprise several important human pathogens, including dengue, West Nile, Yellow fever, Japanese encephalitis, Zika and tick-borne encephalitis viruses. These enveloped viruses affect more than 2 billion people in the world, mainly in less developed countries. Although some vaccines exist for some flaviviruses, these vaccines are not universally available due to many factors and since their infections are a world-wide public health issue, the development of antiviral molecules is fundamental. Flavivirus membranes, through the help of the envelope E glycoprotein, fuse with endosomal compartments in a pH-dependent way to release their genome into the cytoplasm and require specific lipids, such as bis(monoacylglycero)phosphate (BMP), for efficient fusion. The fundamental role the envelope E protein has on viral entry and membrane fusion suggest that it is an essential antiviral target. In this work, we have used atomistic molecular dynamics simulations to study the binding of the head-group of BMP to the tip of the envelope E proteins of ZIKV, DENV, TBEV and JEV viruses whose three-dimensional structures are known. Our results indicate that, apart from the fusion loop, there are different amino acid residues in different regions of the envelope E proteins of flaviviruses capable of binding the head-group of BMP. These regions should work together to accomplish the binding and fusion of the envelope and endosomal membranes and represent a new target to develop and design potent and effective antiviral agents capable of blocking flavivirus-endosome membrane fusion.

The role of the gut microbiota and its interplay with host metabolic health, particularly in the context of type 2 diabetes mellitus (T2DM) management, is garnering increasing attention. Dipeptidyl peptidase 4 (DPP4) inhibitors, commonly known as gliptins, constitute a class of drugs extensively used in T2DM treatment. However, their potential interactions with gut microbiota remain poorly understood. In this study, we employed computational methodologies to investigate the binding affinities of various gliptins to DPP4-like homologs produced by intestinal bacteria. The 3D structures of DPP4 homologs from gut microbiota species, including Segatella copri, Phocaeicola vulgatus, Bacteroides uniformis, Parabacteroides merdae, and Alistipes sp., were predicted using computational modeling techniques. Subsequently, molecular dynamics simulations were conducted for 200 ns to ensure the stability of the predicted structures. Stable structures were then utilized to predict the binding interactions with known gliptins through molecular docking algorithms. Our results revealed binding similarities of gliptins toward bacterial DPP4 homologs compared to human DPP4. Specifically, certain gliptins exhibited similar binding scores to bacterial DPP4 homologs as they did with human DPP4, suggesting a potential interaction of these drugs with gut microbiota. These findings could help in understanding the interplay between gliptins and gut microbiota DPP4 homologs, considering the intricate relationship between the host metabolism and microbial communities in the gut.