Computer-Aided Retrosynthesis for Greener and Optimal Total Synthesis of a Helicase-Primase Inhibitor Active Pharmaceutical Ingredient

IF 8.5 Q1 CHEMISTRY, MULTIDISCIPLINARY JACS Au Pub Date : 2024-10-02 DOI:10.1021/jacsau.4c0062410.1021/jacsau.4c00624
Rodolfo I. Teixeira*, Michael Andresini, Renzo Luisi and Brahim Benyahia*, 
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Abstract

This study leverages and upgrades the capabilities of computer-aided retrosynthesis (CAR) in the systematic development of greener and more efficient total synthetic routes for the active pharmaceutical ingredient (API) IM-204, a helicase-primase inhibitor that demonstrated enhanced efficacy against Herpes simplex virus (HSV) infections. Using various CAR tools, several total synthetic routes were uncovered, evaluated, and experimentally validated, with the goal to maximize selectivity and yield and minimize the environmental impact. The CAR tools revealed several synthetic options under different constraints, which can overperform the patented synthetic route used as a reference. The selected CAR-based route demonstrated a significant improvement of the total yield from 8% (patented route) to 26%, along with a moderate improvement in the overall green performance. It was also shown that a human-in-the-loop approach can be synergistically combined with CAR to drive further improvements and deliver greener synthetic alternatives. This strategy further enhanced the green metrics by substituting solvents and merging two steps into one. These changes led to a significant improvement in the overall yield of IM-204 synthesis from 8 to 35%. Additionally, the green performance score, based on the GreenMotion metrics, was improved from 0 to 18, and the total cost of the building blocks was reduced by 550-fold. This work demonstrates the potential of CAR in drug development, highlighting its capacity to streamline synthesis processes, reduce environmental footprint, and lower production costs, thereby advancing the field toward more efficient and sustainable practices.

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计算机辅助逆合成技术实现螺旋酶-蛋白酶抑制剂活性药物成分的绿色优化全合成
本研究利用并升级了计算机辅助逆合成(CAR)的功能,为活性药物成分(API)IM-204 系统性地开发出更环保、更高效的全合成路线,IM-204 是一种螺旋酶-primase 抑制剂,对单纯疱疹病毒(HSV)感染具有更强的疗效。利用各种 CAR 工具,我们发现、评估并通过实验验证了几种全合成路线,目的是最大限度地提高选择性和产量,并最大限度地减少对环境的影响。CAR 工具揭示了不同限制条件下的几种合成方案,这些方案的性能优于作为参考的专利合成路线。所选的基于 CAR 的路线显著提高了总产率,从 8%(专利路线)提高到 26%,同时还适度提高了整体绿色性能。研究还表明,"人在回路中 "方法可与 CAR 协同作用,推动进一步改进,并提供更环保的合成替代品。这一策略通过替代溶剂和将两个步骤合并为一个步骤,进一步提高了绿色指标。这些改变使 IM-204 合成的总产率从 8% 显著提高到 35%。此外,基于 GreenMotion 指标的绿色性能得分从 0 分提高到 18 分,构件的总成本降低了 550 倍。这项工作展示了 CAR 在药物开发中的潜力,突出了其简化合成流程、减少环境足迹和降低生产成本的能力,从而推动该领域朝着更高效和可持续的方向发展。
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CiteScore
9.10
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0.00%
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审稿时长
10 weeks
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