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HGMMX:宿主肠道微生物群对外源化合物代谢数据库。

HGMMX: Host Gut Microbiota Metabolism Xenobiotics Database.

作者信息

Kolodnitsky Anton S, Ionov Nikita S, Rudik Anastasia V, Filimonov Dmitry A, Poroikov Vladimir V

机构信息

Institute of Biomedical Chemistry (IBMC), 10 Bldg. 8, Pogodinskaya Str., Moscow, 119121, Russia.

出版信息

J Chem Inf Model. 2023 Nov 13;63(21):6463-6468. doi: 10.1021/acs.jcim.3c00837. Epub 2023 Oct 23.

Abstract

The metagenome of bacteria colonizing the human intestine is a set of genes that is almost 150 times greater than the set of host genes. Some of these genes encode enzymes whose functioning significantly expands the number of potential pathways for xenobiotic metabolism. The resulting metabolites can exhibit activity different from that of the parent compound. This can decrease the efficacy of pharmacotherapy as well as induce undesirable and potentially life-threatening side effects. Thus, analysis of the biotransformation of small drug-like compounds mediated by the gut microbiota is an important step in the development of new pharmaceutical agents and repurposing of the approved drugs. research, the interaction of drug-like compounds with the gut microbiota is a multistep and time-consuming process. Systematic testing of large sets of chemical structures is associated with a number of challenges, including the lack of standardized techniques and significant financial costs to identify the structure of the final metabolites. Estimation of the compounds' ability to be biotransformed by the gut microbiota and prediction of the structures of their metabolites are possible . However, the development of computational approaches is limited by the lack of information about chemical structures metabolized by microbiota enzymes. The aim of this study is to create a database containing information on the metabolism of drug-like compounds by the gut microbiota. We created the data set containing information about 368 structures metabolized and 310 structures not metabolized by the human gut microbiota. The HGMMX database is freely available at https://www.way2drug.com/hgmmx. The information presented will be useful in the development of computational approaches for analyzing the impact of the human microbiota on metabolism of drug-like molecules.

摘要

定殖于人类肠道的细菌宏基因组是一组基因,其数量几乎是宿主基因数量的150倍。其中一些基因编码的酶,其功能显著扩展了异源生物代谢的潜在途径数量。产生的代谢产物可能表现出与母体化合物不同的活性。这可能会降低药物治疗的疗效,并引发不良的、甚至可能危及生命的副作用。因此,分析肠道微生物群介导的类药物小分子化合物的生物转化,是开发新型药剂和重新利用已批准药物的重要一步。在研究中,类药物化合物与肠道微生物群的相互作用是一个多步骤且耗时的过程。对大量化学结构进行系统测试面临诸多挑战,包括缺乏标准化技术以及确定最终代谢产物结构的巨大财务成本。估计化合物被肠道微生物群生物转化的能力并预测其代谢产物的结构是可行的。然而,计算方法的发展受到缺乏微生物群酶代谢的化学结构信息的限制。本研究的目的是创建一个包含肠道微生物群对类药物化合物代谢信息的数据库。我们创建了一个数据集,其中包含关于368种被人类肠道微生物群代谢的结构和310种未被代谢的结构的信息。HGMMX数据库可在https://www.way2drug.com/hgmmx免费获取。所呈现的信息将有助于开发用于分析人类微生物群对类药物分子代谢影响的计算方法。

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