Cho, Taeheum; Han, Hyo-Sang; Jeong, Junhyuk; Park, Eun-Mi; Shim, Kyu-Sik published an article in 2021, the title of the article was A novel computational approach for the discovery of drug delivery system candidates for COVID-19.Safety of H-Phg(4-OH)-OH And the article contains the following content:
In order to treat Coronavirus Disease 2019 (COVID-19), we predicted and implemented a drug delivery system (DDS) that can provide stable drug delivery through a computational approach including a clustering algorithm and the SchrÖdinger software. Six carrier candidates were derived by the proposed method that could find mols. meeting the predefined conditions using the mol. structure and its functional group positional information. Then, just one compound named glycyrrhizin was selected as a candidate for drug delivery through the SchrÖdinger software. Using glycyrrhizin, nafamostat mesilate (NM), which is known for its efficacy, was converted into micelle nanoparticles (NPs) to improve drug stability and to effectively treat COVID-19. The spherical particle morphol. was confirmed by transmission electron microscopy (TEM), and the particle size and stability of 300-400 nm were evaluated by measuring DLSand the zeta potential. The loading of NM was confirmed to be more than 90% efficient using the UV spectrum. The experimental process involved the reaction of H-Phg(4-OH)-OH(cas: 32462-30-9).Safety of H-Phg(4-OH)-OH
The Article related to discovery drug delivery system covid, cadd, covid-19, clustering, computer-aided drug discovery, docking, drug delivery system, in silico, machine learning, micelle nanoparticles, nafamostat, unsupervised learning and other aspects.Safety of H-Phg(4-OH)-OH
Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts