Drug Discovery utilizing a Computational Framework

Drug discovery is a multi-step process that starts from a biological hypothesis to an approved drug, and often costs millions of dollars. Identification of a biological target such as a protein that is predicted to bind well with the drug is a key step of this process, which involves investigating several chemical compounds. A team of biochemistry researchers from the University of Arkansas have designed a computational framework for accurately determining a drug candidate’s ability to target and bind to proteins within cells. This research work has the potential to reduce the time and cost involved in new drug development. More details can be found at-https://arkansasresearch.uark.edu/computer-models-determine-drug-candidates-ability-to-bind-to-proteins/