Rational Drug Design Based On Biological Targets | Community Health

Rational drug design is the process of discovering new medications based on the knowledge of a biological target, such as a protein or enzyme. This approach involves designing molecules that are complementary in shape and charge to the target, allowing them to bind and interact with it. By understanding the three-dimensional structure of the target, researchers can use computer modeling techniques to design and optimize potential drugs. This method has led to the development of numerous medications, including small molecules and biopharmaceuticals like therapeutic antibodies. With the help of [[national-institutes-of-health|National Institutes of Health]] and [[food-and-drug-administration|Food and Drug Administration]], rational drug design has become a crucial aspect of modern pharmacology. The use of [[artificial-intelligence|artificial intelligence]] and [[machine-learning|machine learning]] in rational drug design is also becoming increasingly popular, with companies like [[ibm|IBM]] and [[google|Google]] investing in this area. As of 2022, the global market for rational drug design is expected to reach $1.4 billion by 2025, with a growth rate of 10.5% per year.