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AiZynth impact on medicinal chemistry practice at AstraZeneca
RSC Medicinal Chemistry ( IF 4.1 ) Pub Date : 2024-02-16 , DOI: 10.1039/d3md00651d
Jason D. Shields 1 , Rachel Howells 2 , Gillian Lamont 2 , Yin Leilei 3 , Andrew Madin 4 , Christopher E. Reimann 1 , Hadi Rezaei 1 , Tristan Reuillon 5 , Bryony Smith 2 , Clare Thomson 2 , Yuting Zheng 3 , Robert E. Ziegler 1
Affiliation  

AstraZeneca chemists have been using the AI retrosynthesis tool AiZynth for three years. In this article, we present seven examples of how medicinal chemists using AiZynth positively impacted their drug discovery programmes. These programmes run the gamut from early-stage hit confirmation to late-stage route optimisation efforts. We also discuss the different use cases for which AI retrosynthesis tools are best suited.

中文翻译:

AiZynth 对阿斯利康药物化学实践的影响

阿斯利康化学家使用人工智能逆合成工具 AiZynth 已经三年了。在本文中,我们提供了七个示例,说明药物化学家如何使用 AiZynth 对他们的药物发现计划产生积极影响。这些程序涵盖从早期命中确认到后期路线优化工作的各个方面。我们还讨论了最适合人工智能逆合成工具的不同用例。
更新日期:2024-02-16
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