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According to the CITIC Construction Investment Securities Research Report, AI is accelerating the reshaping of traditional pharmaceutical research and development paradigms. Drug effects are essentially interactions between molecules and targets in the body. Traditional drug development faces the underlying pain points of Elum's Law. AI technology has fully penetrated into core processes such as target identification, virtual screening, new design, ADMET prediction, and automated synthesis, effectively breaking the throughput limits of high-throughput physical blind screening faced in traditional pharmaceutical research and development, and greatly improving pharmaceutical efficiency and success rate.
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According to the CITIC Construction Investment Securities Research Report, AI is accelerating the reshaping of traditional pharmaceutical research and development paradigms. Drug effects are essentially interactions between molecules and targets in the body. Traditional drug development faces the underlying pain points of Elum's Law. AI technology has fully penetrated into core processes such as target identification, virtual screening, new design, ADMET prediction, and automated synthesis, effectively breaking the throughput limits of high-throughput physical blind screening faced in traditional pharmaceutical research and development, and greatly improving pharmaceutical efficiency and success rate.
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