Shanghai, China, May 7, 2019 — MilliporeSigma, a leading science and technology company, today announced that MDL, a team from Beijing University, has won the company’s first Retrosynthetic Reaction Prediction Contest.
Contestants were required to design a model for retrosynthetic analysis based on given chemical reactions data, and then predict the materials used according to the target reagents and product. Selected by a panel of judges including MilliporeSigma scientists, MDL won an RMB 22,000 cash prize for designing a hybrid modelling strategy for retrosynthetic analysis using a combination of artificial intelligence algorithms and research.
“As a leader in retrosynthesis, MilliporeSigma is dedicated to advancing science and technology in this space, and we look forward to learning from and acknowledging research from curious scientists,” said Steve Vermant, managing director, head of Research Solutions Commercial, Life Science at MilliporeSigma in China. “This contest provides a thought-provoking platform for students, researchers and practitioners to share ideas and innovation, and helps accelerate applications of new technology while also developing new talent.”
Other winners included:
Retrosynthetic analysis plays a critical role in the development of new drugs, and its application has broad prospects especially in accelerating speed of drug research and development improving efficiency and reducing costs.
The contest, open to anyone in China, included a training camp, online knowledge sharing, as well as workshops, lab tours and mentorship for participants. The contest attracted 1,150 contestants, many of whom were students majoring in engineering, computer science, chemistry and medicine, from universities including Beijing University, Tsinghua University and Fudan University. Other contestants were researchers and practitioners with medical and life science backgrounds from institutions and corporations including Shanghai Institute of Materia Medica, Chinese Academy of Sciences, JD.com and PingAn Technology.
Participants worked in teams to generate new ideas, learn from one another and solve problems with support from MilliporeSigma scientists. MilliporeSigma launched the retrosynthetic analysis contest to promote exploration of artificial intelligence, machine learning in drug design and computer-aided drug design.