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由针对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)具有活性的天然和合成化合物的人工整理数据集所跨越的化学空间。

The Chemical Space Spanned by Manually Curated Datasets of Natural and Synthetic Compounds with Activities against SARS-CoV-2.

作者信息

Betow Jude Y, Turon Gemma, Metuge Clovis S, Akame Simeon, Shu Vanessa A, Ebob Oyere T, Duran-Frigola Miquel, Ntie-Kang Fidele

机构信息

Center for Drug Discovery, Faculty of Science, University of Buea, P. O. Box 63, Buea, CM00237, Cameroon.

Department of Chemistry, Faculty of Science, University of Buea, P. O. Box 63, Buea, CM00237, Cameroon.

出版信息

Mol Inform. 2025 Jan;44(1):e202400293. doi: 10.1002/minf.202400293. Epub 2024 Nov 23.

Abstract

Diseases caused by viruses are challenging to contain, as their outbreak and spread could be very sudden, compounded by rapid mutations, making the development of drugs and vaccines a continued endeavour that requires fast discovery and preparedness. Targeting viral infections with small molecules remains one of the treatment options to reduce transmission and the disease burden. A lesson learned from the recent coronavirus disease (COVID-19) is to collect ready-to-screen small molecule libraries in preparation for the next viral outbreak, and potentially find a clinical candidate before it becomes a pandemic. Public availability of diverse compound libraries, well annotated in terms of chemical structures and scaffolds, modes of action, and bioactivities are, therefore, crucial to ensure the participation of academic laboratories in these screening efforts, especially in resource-limited settings where synthesis, testing and computing capacity are scarce. Here, we demonstrate a low-resource approach to populate the chemical space of naturally occurring and synthetic small molecules that have shown in vitro and/or in vivo activities against the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its target proteins. We have manually curated two datasets of small molecules (naturally occurring and synthetically derived) by reading and collecting (hand-curating) the published literature. Information from the literature reveals that a majority of the reported SARS-CoV-2 compounds act by inhibiting the main protease, while 25% of the compounds currently have no known target. Scaffold analysis and principal component analysis revealed that the most common scaffolds in the datasets are quite distinct. We then expanded the initially manually curated dataset of over 1200 compounds via an ultra-large scale 2D and 3D similarity search, obtaining an expanded collection of over 150 k purchasable compounds. The spanned chemical space significantly extends beyond that of a commercially available coronavirus library of more than 20 k small molecules and constitutes a good starting collection for virtual screening campaigns given its manageable size and proximity to hand-curated compounds.

摘要

由病毒引起的疾病难以控制,因为它们的爆发和传播可能非常突然,再加上快速变异,使得药物和疫苗的研发成为一项持续的工作,需要快速发现和做好准备。用小分子靶向病毒感染仍然是减少传播和疾病负担的治疗选择之一。从最近的冠状病毒病(COVID-19)中吸取的一个教训是,收集随时可用于筛选的小分子文库,为下一次病毒爆发做好准备,并有可能在其成为大流行之前找到临床候选药物。因此,各种化合物文库的公开可用性,在化学结构和支架、作用模式和生物活性方面有良好注释,对于确保学术实验室参与这些筛选工作至关重要,特别是在合成、测试和计算能力稀缺的资源有限环境中。在这里,我们展示了一种低资源方法,用于填充天然存在和合成的小分子的化学空间,这些小分子已显示出对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)及其靶蛋白的体外和/或体内活性。我们通过阅读和收集(人工整理)已发表的文献,人工整理了两个小分子数据集(天然存在的和合成衍生的)。文献中的信息表明,大多数报道的SARS-CoV-2化合物通过抑制主要蛋白酶起作用,而目前25%的化合物没有已知靶点。支架分析和主成分分析表明,数据集中最常见的支架非常不同。然后,我们通过超大规模的二维和三维相似性搜索扩展了最初人工整理的1200多种化合物的数据集,获得了一个超过15万种可购买化合物的扩展集合。所涵盖的化学空间显著扩展到超过2万种小分子的市售冠状病毒文库之外,并且鉴于其可管理的规模和与人工整理化合物的接近性,构成了虚拟筛选活动的良好起始集合。

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