Theoretical design of dendrimeric fractal patterns for the encapsulation of a family of drugs: salicylanilides

Fluidized or not fluidized? Biophysical characterization of biohybrid lipid/protein/polymer liposomes and their interaction with tetracaine

BACKGROUND

Nanomedicine and the pharmaceutical industry demand the investigation of new biomaterials to improve drug therapies. Combinations of lipids, proteins, and polymers represent innovative platforms for drug delivery. However, little is known about the interactions between such compounds and this knowledge is key to prepare successful drug delivery systems.

METHODS

Biophysical properties of biohybrid vesicles (BhVs) composed of phospholipids, proteins, and amphiphilic block copolymers, assembled without using organic solvents, were investigated by differential scanning calorimetry and dynamic light scattering. We studied four biohybrid systems; two of them included the effect of incorporating tetracaine. Thermal changes of phospholipids and proteins when interacting with the amphiphilic block copolymers and tetracaine were analyzed.

RESULTS

Lysozyme and the copolymers adsorb onto the lipid bilayer modifying the phase transition temperature, enthalpy change, and cooperativity. Dynamic light scattering investigations revealed relevant changes in the size and zeta potential of the BhVs. Interestingly, tetracaine, a membrane-active drug, can fluidize or rigidize BhVs.

CONCLUSIONS

We conclude that positively charged regions of lysozyme are necessary to incorporate the block copolymer chains into the lipid membrane, turning the bilayer into a more rigid system. Electrostatic properties and the hydrophilic-lipophilic balance are determinant for the stability of biohybrid membranes.

GENERAL SIGNIFICANCE

This investigation provides fundamental information associated with the performance of biohybrid drug delivery systems and can be of practical significance for designing more efficient drug nanocarriers.

Drug-Loading Capacity of PAMAM Dendrimers Encapsulating Quercetin Molecules: A Molecular Dynamics Study with the 2016H66 Force Field

The complexation of quercetin molecules with poly(amidoamine) (PAMAM) dendrimers of generation 0-3 was studied by molecular dynamics simulations. Three main points were addressed: (i) the effect of starting from different initial structures; (ii) the performance of the 2016H66 force field (recently validated in the context of dendrimer simulations) in predicting the experimental drug(quercetin)-loading capacity of PAMAM dendrimers; and (iii) the stability of quercetin-PAMAM complexes and their interactions. Initial structures generated by different restraint protocols led to faster convergence compared to initial structures generated by randomly placing the drug molecules in the simulation box. The simulations yielded meta-stable complexes where the loading numbers have converged to average values and were compared to experimentally obtained values. Once the first meta-stable state was reached, the drug-dendrimer complexes did not deviate significantly throughout the simulation. They were characterized in terms of structural properties, such as the radius of gyration and radial distribution functions. The results suggest that quercetin molecules interact mostly with the internal dendrimer monomers rather than to their surface.

Interactions of dendrimers with biological drug targets: reality or mystery - a gap in drug delivery and development research

Dendrimers have emerged as novel and efficient materials that can be used as therapeutic agents/drugs or as drug delivery carriers to enhance therapeutic outcomes. Molecular dendrimer interactions are central to their applications and realising their potential. The molecular interactions of dendrimers with drugs or other materials in drug delivery systems or drug conjugates have been extensively reported in the literature. However, despite the growing application of dendrimers as biologically active materials, research focusing on the mechanistic analysis of dendrimer interactions with therapeutic biological targets is currently lacking in the literature. This comprehensive review on dendrimers over the last 15 years therefore attempts to identify the reasons behind the apparent lack of dendrimer-receptor research and proposes approaches to address this issue. The structure, hierarchy and applications of dendrimers are briefly highlighted, followed by a review of their various applications, specifically as biologically active materials, with a focus on their interactions at the target site. It concludes with a technical guide to assist researchers on how to employ various molecular modelling and computational approaches for research on dendrimer interactions with biological targets at a molecular level. This review highlights the impact of a mechanistic analysis of dendrimer interactions on a molecular level, serves to guide and optimise their discovery as medicinal agents, and hopes to stimulate multidisciplinary research between scientific, experimental and molecular modelling research teams.

Pharmacoinformatic approaches to understand complexation of dendrimeric nanoparticles with drugs

Nanoparticle based drug delivery systems are gaining popularity due to their wide spectrum advantages over traditional drug delivery systems; among them, dendrimeric nano-vectors are the most widely explored carriers for pharmaceutical and biomedical applications. The precise mechanism of encapsulation of drug molecules inside the dendritic matrix, delivery of drugs into specific cells, interactions of nano-formulation with biological targets and proteins, etc. present a substantial challenge to the scientific understanding of the subject. Computational methods complement experimental techniques in the design and optimization of drug delivery systems, thus minimizing the investment in drug design and development. Significant progress in computer simulations could facilitate an understanding of the precise mechanism of encapsulation of bioactive molecules and their delivery. This review summarizes the pharmacoinformatic studies spanning from quantum chemical calculations to coarse-grained simulations, aimed at providing better insight into dendrimer-drug interactions and the physicochemical parameters influencing the binding and release mechanism of drugs.

Vibrational spectroscopic investigations and computational study of 5-chloro-2-[4-(trifluoromethyl)phenylcarbamoyl]phenyl acetate

The optimized molecular structure, vibrational frequencies and corresponding vibrational assignments of 5-Chloro-2-[4-(trifluoromethyl)phenylcarbamoyl]phenyl acetate have been investigated experimentally and theoretically using Gaussian09 software package. Potential energy distribution of the normal modes of the vibrations was done using GAR2PED program. The HOMO and LUMO analysis is used to determine the charge transfer within the molecule. The stability of the molecule arising from hyper conjugative interaction and charge delocalization have been analyzed using NBO analysis. The calculated geometrical parameters are in agreement with that of similar derivatives. The calculated first hyperpolarizability is comparable with the reported values of similar derivatives and is an attractive object for future studies of nonlinear optics. The red shift of the NH stretching wave number in the IR spectrum with a strong intensity from the computed wave number indicates the weakening of the NH bond resulting in proton transfer to the neighboring oxygen.

Study of interaction energies between the PAMAM dendrimer and nonsteroidal anti-inflammatory drug using a distributed computational strategy and experimental analysis by ESI-MS/MS

The structure of a dendrimer exhibits a large number of internal and superficial cavities, which can be exploited, to capture and deliver small organic molecules, enabling their use in drug delivery. Structure-based modeling and quantum mechanical studies can be used to accurately understand the interactions between functionalized dendrimers and molecules of pharmaceutical and industrial interest. In this study, we implemented a Metropolis Monte Carlo algorithm to calculate the interaction energy of dendrimer-drug complexes, which can be used for in silico prediction of dendrimer-drug affinity. Initially, a large-scale sampling of different dendrimer-drug conformations was generated using Euler angles. Then, each conformation was distributed on different nodes of a GRID computational system, where its interaction energy was calculated by semiempirical quantum mechanical methods. These energy calculations were performed for four different nonsteroidal anti-inflammatory drugs, each showing different affinities for the PAMAM-G4 dendrimer. The affinities were also characterized experimentally by using Cooks' kinetic method to calculate PAMAM-drug dissociation constants. The quantitative structure-activity relationship between the interaction energies and dissociation constants showed statistical correlations with r(2) > 0.9.