: In drug discovery, in silico methods have become a very important part of the process. These approaches impact the entire development process by discovering and identifying new target proteins as well as designing potential ligands with a significant reduction of time and cost. Furthermore, in silico approaches are also preferred because of reduction in experimental use of animals as; in vivo testing, for safer drug design and repositioning of known drugs. Novel software based discovery and development such as direct/indirect drug design, molecular modelling, docking, screening, drugreceptor interaction, and molecular simulation studies are very important tools for the predictions of ligand-target interaction pattern, pharmacodynamics as well as pharmacokinetic properties of ligands. On the other part, the computational approaches can be numerous, requiring interdisciplinary studies and the application of advance computer technology to design effective and commercially feasible drugs. This review mainly focuses on the various databases and softwares used in drug design and development for speed up the process.
Aims: To understand about the nanoemulsion types and the process formation of spontaneous emulsification method by phase inversion. Then to test the different combinations of Oil, Surfactants and Co-surfactants for formation of suitable nanoemulsions for phenytoin drug loading. Study Design: Spontaneous emulsification method by phase inversion used to form the nanoemulsions. Place and Duration of Study: Department of Pharmaceutical Sciences, Kumaun University, Nainital, Uttarakhand, India. Methodology: Phenytoin is a widely used drug in anticonvulsants class for epilepsy which comes under BCS Class II of drug category. Phenytoin has high permeability property but it also shows low solubility property which makes it difficult to absorb from GI tract hence make a poor penetration into the brain to target disease in the CNS. To overcome the situation of poor delivery of phenytoin, the requirement of nanoparticulate drug delivery as an innovative and effective drug delivery system from nose to brain raised. The objective of our study was to find the best combination of oil and Smix (surfactant and co-surfactant mixture) to form o/w (Oil in Water) nanoemulsions suitable for loading phenytoin drug using spontaneous emulsification method for brain targeting. Results: Based on different compositions of oil (sunflower), surfactants (Tween-20), and co-surfactants (Transcutol P), forty-five test mixtures were made, water titration technique was employed for preparing the pseudo-ternary-phase diagrams. On the basis of these phase diagrams twenty-five phenytoin loaded nanoemulsions were formulated and further examined. After physicochemical characterization of these formulations the viscosity, pH, RI and % transmittance was found (6.149 ± 0.084 to 9.114 ± 0.027), (6.546 ± 0.018 to 6.656 ± 0.017), (1.395 ± 0.003 to 1.41 ± 0.005) and (94.53 ± 1.4% to 95.58 ± 1.2%) respectively. The release rate of phenytoin was found very satisfactory i.e., 98.51 ± 0.25 % to 99.82 ± 0.28 % after 24 hrs. The four formulations showed best release rate had further taken for particle size analysis. The particle size analysis showed that all the properties were in the desired range i.e., droplet size (18.9 to 21.9), zeta potential (-12.4 to -28.8), PDI (0.334 to 0.363). The study shows that the phenytoin loaded nanoemulsion is possible to make by water titration method and shall have a good drug release rate. Conclusion: The nanoemulsion formulations passed through stress testing had also showed good release rate of phenytoin. Also, the other parameters like viscosity, pH, RI and percentage transmittance were in a quit satisfactory range to proceed further with these formulations. The particle size analysis confirms the formation of nanoemultions which had very good drug release rates.
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During Covid-19 Pandemic the entire world experiences the role and importance of Internet of Things (IoT) in healthcare system and especially in Community Pharmacy. Internet of Things can be described as a network architecture incorporating an abundance of sensors software hardware, computing devices, technologies, machines and many more utilities, assisting us in our relevant domains as per the needful. Over the yesteryears it has been observed that the footprints of Internet of Things over the healthcare sector have increased eloquently. This observation leads us to the fact that with the escalating population and the healthcare plight Internet of Things can really prove itself to be serious breakthrough in the community pharmacy. By revising the current healthcare system in the community pharmacies in a more socio-economic fashion. This paper reviews the technological advancements in Internet of Things, for the medical management of public health so that it can be vitally made use of in the domain of community pharmacy. There is a demand of efficient Internet of Things framework that would seriously be able to challenge the abysmal state of community pharmacy mostly in the remote areas and the distant regions. Keywords: Internet of Things (Iot), Community pharmacy, Medical management, Sensor technology.
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