Current Drug Discovery Technologies - Volume 20, Issue 6, 2023

Introduction: Due to the high prevalence of Tourette's disorder among children and adolescents and its negative consequences, an appropriate and effective medical treatment with minimal complications is necessary. Therefore, this study was conducted to compare the effects of Aripiprazole and Risperidone on Tourette's disorders in children and adolescents. Methods: The statistical population of this semi-experimental study Read More

Indole is known as a versatile heterocyclic building block for its multiple pharmacological activities and has a high probability of success in the race for drug candidates. Many natural products, alkaloids, and bioactive heterocycles contain indole as the active principle pharmacophore. These encourage the researchers to explore it as a lead in the drug development process. The current manuscript will serve as a torchbearer f Read More

Background: Antipsychotics interfere with virtually all hallmarks of cancer, including angiogenesis. Vascular endothelial growth factor receptors (VEGFRs) and platelet-derived growth receptors (PDGFRs) play crucial roles in angiogenesis and represent targets of many anti-cancer agents. We assessed and compared the binding effects of antipsychotics and receptor tyrosine kinase inhibitors (RTKIs) on VEGFR2 and PDGFRα. Me Read More

Background: The tyrosine kinase epidermal growth factor receptor (TK-EGFR) has recently been identified as a useful target for anticancer treatments. The major concern for current EGFR inhibitors is resistance due to mutation, which can be overcome by combining more than one pharmacophore into a single molecule. Aim and Objective: In the present study, various hybrids of 1,3,4-oxadiazole-chalcone derivatives Read More

More than two hundred years ago, taurine was first isolated from materials derived from animals. It is abundantly found in a wide range of mammalian and non-mammalian tissues and diverse environments. Taurine was discovered to be a by-product of the metabolism of sulfur only a little over a century and a half ago. Recently, there has been a renewed academic interest in researching and exploring various uses of t Read More

Drug discovery and development have been sped up because of the advances in computational science. In both industry and academics, artificial intelligence (AI) has been widely used. Machine learning (ML), an important component of AI, has been used in a variety of domains, including data production and analytics. One area that stands to gain significantly from this achievement of machine learning is drug discovery. The pr Read More