Pharmaceutical companies talk about the application of artificial intelligence: AI technology can speed up some aspects of new drug research and development a hundred times
Author：Eve Cole
Update Time：2025-02-15 08:48:02
CCTV News, Beijing, November 17 (Reporter Lu Hongqiao) According to the China Central Radio and Television Station’s economic voice "World Finance", at the ongoing 2024 China Pharmaceutical Industry Development Conference, the heads of some pharmaceutical companies introduced the currently popular The application of artificial intelligence in the field of new drug development. Some companies say that artificial intelligence can speed up some aspects of new drug research and development a hundred times. Many people may have heard that artificial intelligence can accelerate the development of new drugs. But how to speed up the process specifically, and how much faster can the research and development of new drugs be made than before? At this conference, Chen Li, founder, chairman and CEO of Hualing Pharmaceuticals, said that first of all, in the early discovery process of drugs, artificial intelligence can be used to screen active drug molecules that are effective against the target and speed up the drug development process. . He said that artificial intelligence can speed up this process hundreds of times. Chen Li said: “In recent years, artificial intelligence technology can generate three-dimensional spatial models of proteins through gene sequences and protein sequences, which allows the target to be visualized. We can clearly see where on the target the drug molecules are suitable for action. The function, coupled with computer automated control and computer intelligent screening, has accelerated our discovery of drug active molecules hundreds of times. Finding molecules that are active against the target is the first step in making innovative drugs. In this case. We can do it very quickly. " Secondly, in clinical trials, we can combine historical data and parameters to design new clinical trials, reduce the number of clinical trials, and reduce human participation. In this way, whether it is patient safety or The success rate of drug development is greater guaranteed. Chen Li said that after the drug is launched, it can also be combined with human health genetic big data and use artificial intelligence technology to achieve precise drug delivery and treatment. Chen Li said: "Use big data, genetic data and machine learning methods to help us better understand a drug and its future role in health. Finally, we can also use clinical research data and machine learning methods to Patients are classified. Based on the classification, drug treatment can be implemented better and more accurately. In fact, big data, artificial intelligence, algorithms, and computers play a role in accelerating and promoting the entire process of drug development and subsequent application. " In addition to the development and use of new drugs, artificial intelligence has also begun to play a huge role in the drug manufacturing process. Drugs are divided into three categories: chemical drugs, biological drugs and proprietary Chinese medicines. Among them, proprietary Chinese medicines are affected by multiple factors such as origin, quality, and processing technology, and their efficacy is relatively prone to instability. Zhao Chao, president of Shandong Buchang Pharmaceutical Co., Ltd., said that artificial intelligence technology can help Chinese patent medicine companies carry out quality control and standardized production. Zhao Chao said: "For example, one of our products has more than 1,500 quality control stations across the country. It is difficult to control so many quality control stations manually. Therefore, we use the joint application of the Internet, informatization and intelligence for control, so that fingerprints The similarity is becoming more and more accurate, and can basically reach more than 95%. This accuracy guarantees stability very well. "
