CReM-dock: de novo design of synthetically feasible structures guided by molecular docking

IF 7.1 Q1 CHEMISTRY, MULTIDISCIPLINARY
Guzel Minibaeva, Haolin Du, Finlay Clark, Julien Michel and Pavel Polishchuk
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Abstract

The de novo generation of chemical compounds represents a compelling strategy for the exploration of a significantly broader chemical space compared to traditional virtual screening methods. However, fragment-based approaches often encounter challenges related to the low synthetic accessibility of generated structures. In this study, we integrated the previously established fragment-based structure generator, CReM, with molecular docking techniques implemented in EasyDock to facilitate the exploration of chemical space. This novel methodology enables indirect control over the synthetic accessibility and diversity of the generated structures, enhances an objective function to yield compounds with desirable physicochemical properties, and maintains key protein–ligand interactions and ligand conformations. The structures generated through this approach exhibited a high degree of novelty and demonstrated competitiveness with those produced by leading methodologies in the field, as demonstrated by Absolute Binding Free Energy calculations. We illustrated the versatility of the developed approach through several case studies, showcasing its applicability to both de novo generation and fragment expansion tasks. The tool developed in this study is open-source and can be accessed at https://github.com/ci-lab-cz/crem-dock.

Abstract Image

CReM-dock:在分子对接的引导下重新设计合成可行的结构
与传统的虚拟筛选方法相比,化合物的重新生成代表了探索更广阔化学空间的引人注目的策略。然而,基于片段的方法经常遇到与生成结构的低综合可及性相关的挑战。在这项研究中,我们将先前建立的基于片段的结构生成器CReM与EasyDock中实现的分子对接技术相结合,以促进化学空间的探索。这种新颖的方法能够间接控制合成的可及性和生成结构的多样性,增强目标函数以产生具有理想物理化学性质的化合物,并维持关键的蛋白质-配体相互作用和配体构象。通过这种方法生成的结构显示出高度的新颖性,并且与该领域领先的方法产生的结构相比具有竞争力,正如绝对束缚自由能计算所证明的那样。我们通过几个案例研究说明了开发方法的多功能性,展示了它对从头生成和片段扩展任务的适用性。本研究开发的工具是开源的,可以在https://github.com/ci-lab-cz/crem-dock上访问。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
2.80
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0.00%
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