Artificial Intelligence In Drug Discovery And Development

The drug discovery and development process is very lengthy, highly expensive, and extremely complex in nature. Considering the time and cost constrictions associated with conventional drug discovery, new methods must be found to enhance the declining efficiency of traditional approaches. AI is transformation in drug discovery, increasing interest from investors, industrial and academic scientists. Optimizing properties related to pharmacodynamics, pharmacokinetics, and clinical outcomes are required for Successful drug discovery. This review discusses about the drug discovery and development process, implementation and role of AI tools in drug development and challenges and future of AI. The combination of AI and drug discovery offers a promising strategy to overcome the challenges and complexities of the pharmaceutical industry. New research tools may need to be evaluated to explore new targets. The journey from initial discovery to marketed drug is a long and difficult task. From discovery to approved drug takes about 12 to 15 years and requires an investment of about $1 billion. On average, one million molecules are screened, but only one will be investigated in late-stage clinical trials and ultimately delivered to patients.