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已知药物有效结构类似物的逆向-正向合成设计与实验验证

Retro-forward synthesis design and experimental validation of potent structural analogs of known drugs.

作者信息

Makkawi Ahmad, Beker Wiktor, Wołos Agnieszka, Manna Sabyasachi, Roszak Rafał, Szymkuć Sara, Moskal Martyna, Koshevarnikov Aleksei, Molga Karol, Żądło-Dobrowolska Anna, Grzybowski Bartosz A

机构信息

Institute of Organic Chemistry, Polish Academy of Sciences Warsaw Poland

Allchemy, Inc. Highland IN USA.

出版信息

Chem Sci. 2025 Mar 19;16(19):8383-8393. doi: 10.1039/d5sc00070j. eCollection 2025 May 14.

Abstract

Generation of structural analogs to "parent" molecule(s) of interest remains one of the important elements of drug development. Ideally, such analogs should be synthesizable by concise and robust synthetic routes. The current work illustrates how this process can be facilitated by a computational pipeline spanning (i) diversification of the parent substructure replacements aimed at enhancing biological activity, (ii) retrosynthesis of the thus generated "replicas" to identify substrates, (iii) forward syntheses originating from these substrates (and synthetically versatile "auxiliaries") and guided "towards" the parent, and (iv) evaluation of the candidates for target binding and other medicinal-chemical properties. This pipeline proposes syntheses of thousands of readily makeable analogs in a matter of minutes, and is deployed here to validate by experiment seven structural analogs of Ketoprofen and six analogs of Donepezil. The concise, computer-designed syntheses are confirmed in 12 out of 13 cases, offering access to several potent inhibitors. While the synthesis-design component is robust, binding affinities are predicted less accurately although still to the order-of-magnitude, which may be valuable in discerning promising from inadequate binders.

摘要

生成目标“母体”分子的结构类似物仍然是药物开发的重要环节之一。理想情况下,此类类似物应能通过简洁且可靠的合成路线进行合成。当前的工作展示了如何通过一个计算流程来推动这一过程,该流程包括:(i)对母体亚结构替换进行多样化,以增强生物活性;(ii)对由此产生的“复制品”进行逆合成,以确定底物;(iii)从这些底物(以及具有合成通用性的“助剂”)出发进行正向合成,并导向母体;(iv)评估候选物的靶点结合及其他药物化学性质。该流程能够在数分钟内提出数千种易于制备的类似物的合成方案,并在此用于通过实验验证酮洛芬的七种结构类似物和多奈哌齐的六种类似物。在13个案例中有12个案例证实了简洁的计算机设计合成方法,从而能够获得几种强效抑制剂。虽然合成设计部分很可靠,但结合亲和力的预测准确性较低,尽管仍能达到数量级水平,这在区分有前景的结合剂和不合格的结合剂方面可能很有价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fefe/12077356/f2dab977797d/d5sc00070j-f1.jpg

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