ABSTRACT
BACKGROUND: It takes a lot more studies to evaluate the molecular interaction of nanoparticles with the drug, their drug delivery potential and release kinetics. Thus, we have taken in silico and in vitro approaches into account for the evaluation of the drug delivery ability of the chitosan nanoparticles. OBJECTIVE: The present work was aimed to study the interaction of chitosan nanoparticles with appropriate aromatase inhibitors using in silico tools. Further, synthesis and characterization of chitosan nanoparticles having optimal binding energy and affinity between drug and polymer in terms of size, encapsulation efficiency were carried out. METHODS: In the current study, molecular docking was used to map the molecular interactions and estimation of binding energy involved between the nanoparticles and the drug molecules in silico. Letrozole is used as a model cytotoxic agent currently being used clinically; hence Letrozole loaded chitosan nanoparticles were formulated and characterized using photomicroscope, particle size analyzer, scanning electron microscope and fourier transform infra-red spectroscopy. RESULTS: Letrozole had the second-highest binding affinity within the core of chitosan with MolDock (-102.470) and Re-rank (-81.084) scores. Further, it was investigated that formulated nanoparticles were having superior drug loading capacity and high encapsulation efficiency. In vitro drug release study exhibited prolonged release of the drug from chitosan nanoparticles. CONCLUSION: Results obtained from the in silico and in vitro studies suggest that Letrozole loaded nanoparticles are ideal for breast cancer treatment.
Subject(s)
Antineoplastic Agents/pharmacology , Aromatase Inhibitors/pharmacology , Breast Neoplasms/drug therapy , Letrozole/pharmacology , Molecular Docking Simulation , Nanoparticles/chemistry , Antineoplastic Agents/chemical synthesis , Antineoplastic Agents/chemistry , Aromatase Inhibitors/chemical synthesis , Aromatase Inhibitors/chemistry , Breast Neoplasms/metabolism , Breast Neoplasms/pathology , Cell Line, Tumor , Cell Proliferation/drug effects , Cell Survival/drug effects , Chitosan/chemistry , Chitosan/pharmacology , Dose-Response Relationship, Drug , Drug Screening Assays, Antitumor , Female , Humans , Letrozole/chemical synthesis , Letrozole/chemistry , Molecular Structure , Polymers/chemistry , Polymers/pharmacology , Structure-Activity RelationshipABSTRACT
Steroidal 5α-reductase, a key enzyme involved in the transformation of testosterone to dihydrotestosterone, is unstable during the purification leading to loss of the activity. Therefore, due to unstable nature, the crystal structure of the 5α-reductase is unknown. In the present study, we have generated a comparative pharmacophoric model for both isoforms of steroidal 5α-reductase using 6-azasteroids. The steric and electrostatic maps generated for both isoforms provides structure framework for designing of new inhibitors. Further, 3D-maps are also helpful in understanding variability in the activity of the compounds. Statistical measures generated for both enzymes showed good internal and external prediction. Overall, the analyses of models provides structural requirement of dual and selective steroidal 5α-reductase inhibitors in an interactive fashion.
