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用于更绿色且优化的解旋酶-引发酶抑制剂活性药物成分全合成的计算机辅助逆合成分析

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

作者信息

Teixeira Rodolfo I, Andresini Michael, Luisi Renzo, Benyahia Brahim

机构信息

Department of Chemical Engineering, Loughborough University, Loughborough LE11 3TU, U.K.

Department of Pharmacy-Drug Sciences, University of Bari "A. Moro", Bari 70125, Italy.

出版信息

JACS Au. 2024 Oct 2;4(11):4263-4272. doi: 10.1021/jacsau.4c00624. eCollection 2024 Nov 25.

DOI:10.1021/jacsau.4c00624
PMID:39781029
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11709084/
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.

摘要

本研究利用并提升了计算机辅助逆合成(CAR)的能力,以系统开发更绿色、更高效的活性药物成分(API)IM-204的全合成路线。IM-204是一种解旋酶-引发酶抑制剂,对单纯疱疹病毒(HSV)感染显示出增强的疗效。使用各种CAR工具,发现、评估并通过实验验证了几条全合成路线,目标是最大化选择性和产率,并最小化环境影响。CAR工具揭示了在不同限制条件下的几种合成选择,这些选择可以超越用作参考的专利合成路线。所选的基于CAR的路线显示总产率从8%(专利路线)显著提高到26%,同时整体绿色性能也有适度改善。研究还表明,人在回路方法可以与CAR协同结合,以推动进一步改进并提供更绿色的合成替代方案。该策略通过替代溶剂并将两步合并为一步,进一步提高了绿色指标。这些变化使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提高到18,并且构建模块的总成本降低了550倍。这项工作展示了CAR在药物开发中的潜力,突出了其简化合成过程、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实践发展。

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