Finding novel drugs based on the understanding of a target tissue is called Drug design. Drug design, in its most basic form, is creating molecules that are complementary in charge and shape to the target molecule by which drugs interact and bind. In the big data age, drug design commonly but not always depends on computer modelling methods and bioinformatics strategies. Biopharmaceuticals, particularly therapeutic antibodies, are a class of drugs that are becoming more and more significant in addition to small molecules, and computational methods have made significant strides in enhancing the affinity, selectivity, and stability of these protein-based therapeutics [3]. Preclinical research using animal and cell-based models, human clinical trials, and then the last phase of securing regulatory approval to sell the medicine make up drug development and discovery. The process of modern drug development includes the identification of screening hits, medicinal chemistry, and optimization of those hits to enhance their affinity, efficacy/potency, metabolic stability (to lengthen the half-life), and oral bioavailability. Prior to clinical trials, medication development will start after a molecule that satisfies all of these criteria has been found.
Title : The impact of metal-decorated polymeric nanodots on proton relaxivity
Paulo Cesar De Morais, Catholic University of Brasilia, Brazil