V. Sravani*1, Dr. P. Venkatesh2, V. Dinkar3
1-3Department of Pharmacy, Jagans Institute of Pharmaceutical Sciences, Jangala Kandriga, Nellore, Andhra Pradesh.
A B S T R A C T
One important challenge in modern drug discovery is to accelerate the search for new and more potent therapeutic molecules but in a more assertive manner as thus far, conventional approaches are extremely costly, time consuming and largely ineffective. Pharmaceutical companies have spent billions of dollars in development but only a small percentage of candidates have made it to the market. Novel artificial intelligence algorithms provide an alternative route for a more comprehensive search of candidates in already available and large databases of pharmaceutical compounds. Also, those algorithms reduce the number of experiments needed in vitro and in vivo, given that only the most promising candidates are further analyze. A hub for bench-to-bedside-to-community is required for conducting the pharmaceutical research has towards more efficient applied outcomes improving public health. This requires a structured, well-organized, reproducible and continuous relationship between three main backbones of translational research i.e. bench-side, bedside and community.
Keywords: Drug discovery, Pharmaceutical companies, Translational, transformational, community.