使用反应载体进行可合成的从头设计:应用于 PARP1 抑制剂。

IF 2.8 4区 医学 Q3 CHEMISTRY, MEDICINAL Molecular Informatics Pub Date : 2024-04-01 Epub Date: 2024-02-06 DOI:10.1002/minf.202300183
Gian Marco Ghiandoni, Stuart R Flanagan, Michael J Bodkin, Maria Giulia Nizi, Albert Galera-Prat, Annalaura Brai, Beining Chen, James E A Wallace, Dimitar Hristozov, James Webster, Giuseppe Manfroni, Lari Lehtiö, Oriana Tabarrini, Valerie J Gillet
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引用次数: 0

摘要

多年来,从头设计一直是一个热门话题。最近的发展涉及使用深度学习方法进行生成分子设计。尽管算法越来越复杂,但设计可合成的分子仍然是一大挑战。基于反应的从头设计采用了一种概念上更简单的方法,旨在通过模仿合成化学,以逐步应用已知反应来驱动结构转变,从而直接解决可合成性问题。然而,使用少量手工编码的转换限制了可访问的化学空间,文献中很少有成功设计并执行分子及其合成路线的实例。在此,我们介绍了将基于反应的从头设计应用于设计可合成且具有生物活性的化合物,作为我们基于反应载体的软件的概念验证。反应载体是从已知反应中自动衍生出来的,可以进入合成可及化学空间的广泛区域。设计的目的是生产出对 PARP1 有活性的分子,与现有的 PARP1 抑制剂相比,这些分子具有更好的脑穿透特性。我们根据提供的合成路线合成了部分设计分子,并对其进行了实验测试。结果表明,反应载体可用于设计具有生物学意义的新型分子,而且这些分子在合成上也是可获得的。
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Synthetically accessible de novo design using reaction vectors: Application to PARP1 inhibitors.

De novo design has been a hotly pursued topic for many years. Most recent developments have involved the use of deep learning methods for generative molecular design. Despite increasing levels of algorithmic sophistication, the design of molecules that are synthetically accessible remains a major challenge. Reaction-based de novo design takes a conceptually simpler approach and aims to address synthesisability directly by mimicking synthetic chemistry and driving structural transformations by known reactions that are applied in a stepwise manner. However, the use of a small number of hand-coded transformations restricts the chemical space that can be accessed and there are few examples in the literature where molecules and their synthetic routes have been designed and executed successfully. Here we describe the application of reaction-based de novo design to the design of synthetically accessible and biologically active compounds as proof-of-concept of our reaction vector-based software. Reaction vectors are derived automatically from known reactions and allow access to a wide region of synthetically accessible chemical space. The design was aimed at producing molecules that are active against PARP1 and which have improved brain penetration properties compared to existing PARP1 inhibitors. We synthesised a selection of the designed molecules according to the provided synthetic routes and tested them experimentally. The results demonstrate that reaction vectors can be applied to the design of novel molecules of biological relevance that are also synthetically accessible.

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来源期刊
Molecular Informatics
Molecular Informatics CHEMISTRY, MEDICINAL-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
7.30
自引率
2.80%
发文量
70
审稿时长
3 months
期刊介绍: Molecular Informatics is a peer-reviewed, international forum for publication of high-quality, interdisciplinary research on all molecular aspects of bio/cheminformatics and computer-assisted molecular design. Molecular Informatics succeeded QSAR & Combinatorial Science in 2010. Molecular Informatics presents methodological innovations that will lead to a deeper understanding of ligand-receptor interactions, macromolecular complexes, molecular networks, design concepts and processes that demonstrate how ideas and design concepts lead to molecules with a desired structure or function, preferably including experimental validation. The journal''s scope includes but is not limited to the fields of drug discovery and chemical biology, protein and nucleic acid engineering and design, the design of nanomolecular structures, strategies for modeling of macromolecular assemblies, molecular networks and systems, pharmaco- and chemogenomics, computer-assisted screening strategies, as well as novel technologies for the de novo design of biologically active molecules. As a unique feature Molecular Informatics publishes so-called "Methods Corner" review-type articles which feature important technological concepts and advances within the scope of the journal.
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