Impact of Cyclization and Methylation on Peptide Penetration through Droplet Interface Bilayers

Molecular insights into the controlled release process of cyclodextrin-resveratrol inclusion complexes in the stratum corneum

Cyclodextrins (CDs) are efficient drug carriers for improving drug solubility, stability, and bioavailability. However, the mechanism underlying the interaction between cyclodextrin-drug inclusion complexes and skin remains unclear. In this work, molecular simulations were employed to study the release process of cyclodextrin-resveratrol inclusion complexes on the surface of the lipid bilayer. The results showed that structural orientation significantly influences release kinetics. Resveratrol (RES) is able to form inclusion complexes with β-CD in two possible orientations: M-form (Mono-hydroxyl group toward the primary rim of β-CD) and D-form (Di-hydroxyl group toward the secondary rim of β-CD). M-form inclusion structures facilitated RES release more efficiently than D-form configurations. Cavity-specific lipid interactions are the dominant driver of the release process. Meanwhile, it was determined that the β-CD/RES inclusion complex exhibited greater stability than γ-CD/RES and demonstrated superior release efficiency at the lipid membrane surface in comparison to α-CD/RES. This suggests that the cavity size of β-CD is more suitable for delivering resveratrol. Furthermore, umbrella sampling simulations reveal that hydroxypropyl-substituted β-CD could lessen the irritation to the lipid bilayer. The present study provides a theoretical foundation for the rational design of CD-based drug delivery systems.

Engineering a Biohybrid System to Link Antibiotic Efficacy to Membrane Depth in Bacterial Infections

Treating bacterial infections is dependent upon their site within a biological system, where the cumulative role of membrane transport is challenging to resolve. In this work, a cultivation method based on droplet interface bilayers (DIBs) is established. The architecture of infections in both cellular and tissue contexts is crafted where individual droplets serve as artificial cells infected by intracellular bacteria, or as interconnected units in a tissue-like structure. Through spatio-temporal control over droplets, addition, withdrawal, and sequential antibiotic gradients are tailored acting upon living bacteria. With droplet networks mimicking tissues, it is showed that the treatment response is dependent on the number of the cell-like barriers, corresponding to the number of membranes from an antibiotic source, here described as the membrane depth. Through mathematical modelling a correlation is revealed between the membrane depth of each bacterial population, the antibiotic distribution and thus the treatment efficacy. Ultimately, this approach holds promise as an in vitro bioassay for understanding the response of intracellular bacteria to antibiotics, developing new antibiotics, designing biologically inspired materials, and underpinning emerging bioprinting approaches.

Peptide Design for Enhanced Anti-Melanogenesis: Optimizing Molecular Weight, Polarity, and Cyclization

Melanogenesis is a biochemical process that regulates skin pigmentation, which is crucial role in protecting against ultraviolet radiation. It is also associated with hyperpigmentation conditions such as melasma and age spots, which negatively impact aesthetics and self-confidence. Tyrosinase (TYR), a key enzyme in the melanogenesis pathway, catalyzes the biosynthesis of melanin in the skin. Inhibition of tyrosinase particularly by blocking its active site and preventing the binding of natural substrates such as tyrosine, can reduce melanin production, making it a promising therapeutic target for treating hyperpigmentation. Peptides have emerged as promising therapeutics to regulate melanogenesis by minimizing the side effects associated with conventional skin whitening therapeutics. This review is designed to offer a comprehensive analysis of current strategies in peptide design aimed at optimizing anti-melanogenic activity, by focusing on the role of molecular weight, polarity, and cyclization strategies in enhancing peptide efficacy and stability. It was found that optimal peptide size was within the range of 400-600 Da. The balance between hydrophilic and hydrophobic properties in peptides is crucial for effective TYR inhibition, as higher hydrophilicity enhances affinity for the TYR active site and stronger catalytic inhibition, while hydrophobicity can contribute through alternative mechanisms. Cyclization of peptides enhances their structural stability, serum resistance, and binding affinity while reducing toxicity. This process increases resistance to enzymatic degradation and improves target specificity by limiting conformational flexibility. Additionally, the rigidity and internal hydrogen bonding of cyclic peptides can aid in membrane permeability, making them more effective for therapeutic use. Peptide optimizations through size modification, polarity change, and cyclization strategies have been shown to be promising as reliable and safe agents for melanin inhibition. Future studies exploring specific amino acid in peptide chains are required to improve efficacy and potential clinical applications of these anti-melanogenic peptides as a hyperpigmentation treatment.

Predicting Peptide Permeability Across Diverse Barriers: A Systematic Investigation

Peptide-based therapeutics hold immense promise for the treatment of various diseases. However, their effectiveness is often hampered by poor cell membrane permeability, hindering targeted intracellular delivery and oral drug development. This study addressed this challenge by introducing a novel graph neural network (GNN) framework and advanced machine learning algorithms to build predictive models for peptide permeability. Our models offer systematic evaluation across diverse peptides (natural, modified, linear and cyclic) and cell lines [Caco-2, Ralph Russ canine kidney (RRCK) and parallel artificial membrane permeability assay (PAMPA)]. The predictive models for linear and cyclic peptides in Caco-2 and RRCK cell lines were constructed for the first time, with an impressive coefficient of determination (R2) of 0.708, 0.484, 0.553, and 0.528 in the test set, respectively. Notably, the GNN framework behaved better in permeability prediction with larger data sets and improved the accuracy of cyclic peptide prediction in the PAMPA cell line. The R2 increased by about 0.32 compared with the reported models. Furthermore, the important molecular structural features that contribute to good permeability were interpreted; the influence of cell lines, peptide modification, and cyclization on permeability were successfully revealed. To facilitate broader use, we deployed these models on the user-friendly KNIME platform (https://github.com/ifyoungnet/PharmPapp). This work provides a rapid and reliable strategy for systematically assessing peptide permeability, aiding researchers in drug delivery optimization, peptide preselection during drug discovery, and potentially the design of targeted peptide-based materials.

Label-free quantification of passive membrane permeability of cyclic peptides across lipid bilayers: penetration speed of cyclosporin A across lipid bilayers

Cyclic peptides that passively penetrate cell membranes are under active investigation in drug discovery research. PAMPA (Parallel Artificial Membrane Permeability Assay) and Caco-2 assay are mainly used for permeability measurements in these studies. However, permeability rates across the artificial membrane and the cell monolayer used for these assays are intrinsically different from the ones across pure lipid bilayers. There are also membrane permeability assays for peptides using reconstructed lipid bilayers, but they require labeling for detection, and the absolute membrane permeability of the natural peptides themselves could not be determined. Here, we constructed a lipid bilayer permeability assay and realized the first label-free measurements of the lipid bilayer permeability of cyclic peptides. Quantitative permeability values across lipid bilayers were determined for model cyclic hexapeptides and an important natural product, cyclosporin A (CsA). The obtained quantitative permeability values will provide new and advanced knowledge about the passive permeability of cyclic peptides.