Dynamical Interactions of 5-Fluorouracil Drug with Dendritic Peptide Vectors: The Impact of Dendrimer Generation, Charge, Counterions, and Structured Water

Carbosilane ruthenium metallodendrimer as alternative anti-cancer drug carrier in triple negative breast cancer mouse model: A preliminary study

The carbosilane metallodendrimer G₁-[[NCPh(o-N)Ru(η6- p-cymene)Cl]Cl]₄ (CRD13), based on an arene Ru(II) complex coordinated to imino-pyridine surface groups, has been conjugated with anti-cancer drugs. Ruthenium in the positively-charged dendrimer structure allows this nanoparticle to be considered as an anticancer drug carrier, made more efficient because ruthenium has anticancer properties. The ability of CRD13 to form complexes with Doxorubicin (DOX), 5-Fluorouracil (5-Fu), and Methotrexate (MTX) has been evaluated using zeta potential measurement, transmission electron microscopy (TEM) and computer simulation. The results show that it forms stable nanocomplexes with all those drugs, enhancing their effectiveness against MDA-MB-231 cancer cells. In vivo tests indicate that the CRD13/DOX system caused a decrease of tumor weight in mice with triple negative breast cancer. However, the tumors were most visibly reduced when naked dendrimers were injected.

Engineering of hybrid anticancer drug-loaded polymeric nanoparticles delivery system for the treatment and care of lung cancer therapy

Chemotherapy with combination drugs has become one of the most commonly used cancer prevention treatments, with positive clinical results. The goal of this study was to develop compostable polymeric nanomaterials (NMs) for the delivery of puerarin (PRN) and 5-fluorouracil (5FU), as well as to investigate the anticancer activity of the drug delivery system (PRN-5FU NMs) against in vitro and in vivo lung cancer cells. Since double antitumor drugs PRN and 5FU are insufficiently compressed in polymer-based bio-degradable nanoparticles, encapsulation of PRN and 5FU antitumor drugs were co-encapsulated with polyethylene glycol and polylactidecoglycolide nanoparticles (NMs) is efficient. The arrangement of PRN NMs, 5FU NMs, and PRN-5FU NMs, as well as the nanoparticles shape and scale, were studied using transmission electron microscopy (TEM). 5FU-PRN NMs triggered apoptosis in lung carcinoma cell lines such as HEL-299 and A549 in vitro. Acridine orange/ethidium bromide (AO/EB) and nuclear damaging staining techniques were used to observe morphologies and cell death. The mechanistic analysis of apoptosis was also confirmed by flow cytometry analysis using dual staining. When compared to free anticancer products, the hemolysis analysis findings of the 5FU-PRN NMs showed excellent biocompatibility. Taken together the advantages, this combination drug conveyance strategy exposed that 5FU-PRN NMs could have a significant promising to improve the effectiveness of lung cancer cells.

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.

Optimization and computational studies evaluating molecular dynamics of EDA cored polymeric dendrimer

In this work we report the results acquired from molecular dynamics simulations as well as the optimization of different generations of polyamidoamine dendrimer. The analysis data revealed synthesized dendrimer as a suitable nanostructured candidate suitable for neutral as well as charged molecule delivery due to the presence of both electrostatic potential and van der Waals forces. The methyl ester terminating groups of half-generation dendrimers with characteristic IR peaks for carbonyl at 1670.41 cm⁻¹ tends to shift to 1514.17 cm⁻¹ on conversion to amide group of full-generation dendrimer. The study includes the usage of detailed analysis, demonstrating how molecular dynamics affect the dendrimer complexation. The present investigations provide an unprecedented insight into the computational and experimental system that may be of general significance for the clinical application of dendrimers.

Complexation of peptide epitopes with G4-PAMAM dendrimer through ligand diffusion molecular dynamic simulations

Peptide epitopes from HIV-1 gp120 have been used to block the gp120-CD4 complex, whereas their poor absorbable or immunogenic properties prevent them from coupling to generation four polyamidoamine (PAMAM-G4) dendrimers. PAMAM-G4 are synthetic nanoparticles that are relatively nontoxic and nonimmunogenic have been employed as nanocarriers. In a previous study, two peptide epitopes (ABC and PGV04) from gp120 located at the protein-protein interface of the gp120-CD4 complex were identified through protein-protein dissociation. Then, their complexation with G4-PAMAM was evaluated through experimental and theoretical approaches, revealing a stoichiometry of 1:8/9 for G4-PAMAM and ABC or PGV04, respectively, providing important information that can be used to gain insight into the structural and energetic basis of the molecular binding of these G4-PAMAM-peptide systems. In this contribution, we performed ligand diffusion molecular dynamic simulations (LDMDSs) using 1.5 μs combined with the molecular mechanics generalized Born surface area (MMGBSA) approach, a strategy that successfully reproduced experimentally encapsulation on PAMAM-G4-ligand complexes, to explore the mechanism through which ABC and PGV04 are encapsulated by PAMAM-G4 under neutral and acid conditions. Our results reproduce the reported PAMAM-G4-peptide complex stoichiometry, revealing a slower peptide delivery at neutral conditions and a spontaneous release under acidic conditions. LDMDSs show that several peptides can reach stable G4-PAMAM complexes at neutral pH, and only a few are able to encapsulate on dendrimers without impacting dendrimer sphericity. Energetic analysis exploring different generalized Born models revealed that the ABC peptide has better binding properties than PGV04.

Complexation of methotrexate via ligand diffusion molecular dynamic simulations under neutral, basic, and acidic conditions

Methotrexate (MTX), an FDA-approved drug employed in the treatment of several types of cancer and autoimmune diseases, is characterized by its poor solubility. Therefore, new strategies have been implemented such as coupling to nanocarriers to increase its solubility. Previous experimental studies have demonstrated complexation of MTX to polyamidoamine of a generation four (PAMAM-G4) dendrimer with a complex stoichiometry of 19/22:1 under neutral conditions, providing important information that can be used to further elucidate the structural and energetic basis of the molecular binding of MTX and PAMAM-G4. In this study, we performed ligand diffusion molecular dynamic simulations (LDMDSs), using 3 μs combined with the molecular mechanics generalized surface area (MMGBSA) approach employing saturating concentrations of MTX to explore the mechanism through which MTX is complexed by PAMAM-G4 at neutral, basic, and acidic conditions. Our results reproduce the reported complex stoichiometry between MTX and PAMAM-G4 in neutral conditions. Binding free energy values suggest a much slower release in neutral and acidic conditions, consistent with the controlled rate of drug release into the bloodstream and when reaching the acidic environment of tumor tissues. Altogether, the methodology employed and the results may be useful in the evaluation of other drugs of pharmaceutical interest.

Polyamidoamine Dendrimers for Enhanced Solubility of Small Molecules and Other Desirable Properties for Site Specific Delivery: Insights from Experimental and Computational Studies

Clinical applications of many small molecules are limited due to poor solubility and lack of controlled release besides lack of other desirable properties. Experimental and computational studies have reported on the therapeutic potential of polyamidoamine (PAMAM) dendrimers as solubility enhancers in pre-clinical and clinical settings. Besides formulation strategies, factors such as pH, PAMAM dendrimer generation, PAMAM dendrimer concentration, nature of the PAMAM core, special ligand and surface modifications of PAMAM dendrimer have an influence on drug solubility and other recommendable pharmacological properties. This review, therefore, compiles the recently reported applications of PAMAM dendrimers in pre-clinical and clinical uses as enhancers of solubility and other desirable properties such as sustained and controlled release, bioavailability, bio-distribution, toxicity reduction or enhancement, and targeted delivery of small molecules with emphasis on cancer treatment.

Binding and Release between Polymeric Carrier and Protein Drug: pH-Mediated Interplay of Coulomb Forces, Hydrogen Bonding, van der Waals Interactions, and Entropy

The accelerating search for new types of drugs and delivery strategies poses challenge to understanding the mechanism of delivery. To this end, a detailed atomistic picture of binding between the drug and carrier is quintessential. Although many studies focus on the electrostatics of drug-vector interactions, it has also been pointed out that entropic factors relating to water and counterions can play an important role. By carrying out extensive molecular dynamics simulations and subsequently validating with experiments, we shed light herein on the binding in aqueous solution between a protein drug and polymeric carrier. We examined the complexation between the polymer poly(ethylene glycol) methyl ether acrylate-b-poly(carboxyethyl acrylate (PEGMEA-b-PCEA) and the protein egg white lysozyme, a system that acts as a model for polymer-vector/protein-drug delivery systems. The complexation has been visualized and characterized using contact maps and hydrogen bonding analyses for five independent simulations of the complex, each running over 100 ns. Binding at physiological pH is, as expected, mediated by Coulombic attraction between the positively charged protein and negatively charged carboxylate groups on the polymer. However, we find that consideration of electrostatics alone is insufficient to explain the complexation behavior at low pH. Intracomplex hydrogen bonds, van der Waals interactions, as well as water-water interactions dictate that the polymer does not release the protein at pH 4.8 or indeed at pH 3.2 even though the Coulombic attractions are largely removed as carboxylate groups on the polymer become titrated. Experiments in aqueous solution carried out at pH 7.0, 4.5, and 3.0 confirm the veracity of the computed binding behavior. Overall, these combined simulation and experimental results illustrate that coulomb interactions need to be complemented with consideration of other entropic forces, mediated by van der Waals interactions and hydrogen bonding, to search for adequate descriptors to predict binding and release properties of polymer-protein complexes. Advances in computational power over the past decade make atomistic molecular dynamics simulations such as implemented here one of the few avenues currently available to elucidate the complexity of these interactions and provide insights toward finding adequate descriptors. Thus, there remains much room for improvement of design principles for efficient capture and release delivery systems.