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　　主講人：Prof. Alexander Domling, University of Groningen

　　時(shí)間：2019年6月25日 11:00-12:00am 

　　地點(diǎn)：廣州生物醫(yī)藥與健康研究院（A431）

　　主持人：Dr. Micky D Tortorella

　　Automated, miniaturized and accelerated synthesis for efficient property optimization is a formidable challenge in chemistry in the 21st century as it helps to reduce resources and waste and can deliver products in shorter time frames.[1,2] High throughput experimentation methods empower chemists to run orders of magnitude more experiments and enable “big data” informatics approaches to reaction design and troubleshooting. Artificial intelligence in drug discovery has gained remarkable success including syntheses pathway or bioactivity prediction. Hence, the marriage of miniaturized, automated and accelerated synthesis with AI methods promisses a groundbreaking approach for early drug discovery.