Context: Drug developers are seeking to speed up the testing and developing of new drugs with the help of artificial intelligence (AI).
Drug Development
o Identifying and Validating the Target: The process begins with identifying and validating a target, typically a protein, which the drug directly binds to for its intended effect.
o Discovery Phase: In the discovery phase, target protein sequences are analyzed using computer algorithms to find suitable drug molecules from a library of small molecules.
o Analysis: Computational models are utilized to understand the binding sites between the target protein and potential drug molecules, streamlining the process and reducing reliance on expensive laboratory experiments.
o Clinical Trials: Following pre-clinical testing, the drug undergoes clinical trials where it is administered to a small number of human patients to evaluate efficacy and safety.
o Clinical trails in India: The Drugs Controller General of India (DCGI) is an official of the CDSCO who is the final regulatory authority for the approval of clinical trials in the country.
o Post-market Surveillance: Even after approval and marketing, the drug continues to be monitored through post-market surveillance to ensure its safety and effectiveness in real-world settings.
Advantages
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