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1.
J Chem Inf Model ; 63(21): 6463-6468, 2023 11 13.
Article in English | MEDLINE | ID: mdl-37871298

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. In vitro 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 in silico. 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.


Subject(s)
Gastrointestinal Microbiome , Microbiota , Humans , Xenobiotics/chemistry , Xenobiotics/metabolism , Xenobiotics/pharmacology , Biotransformation , Databases, Factual
2.
J Chem Inf Model ; 63(7): 1847-1851, 2023 04 10.
Article in English | MEDLINE | ID: mdl-36995916

ABSTRACT

Medicinal plants growing in Russia are a rich source of biologically active compounds. However, the evaluation of the hidden pharmacological potential of these compounds by in silico methods is complicated by the lack of specialized databases. We have created a database of 3128 phytocomponents from 268 medical plants included in the Russian Pharmacopoeia. The information about the compounds was supplemented with their physical-chemical characteristics and biological activity profiles estimated using the PASS software. Comparison with phytocomponents of medicinal plants from five other countries showed that the similarity of phytocomponents in our database is rather small. The uniqueness of the contents significantly enriches and provides easy access to the necessary information. The Phyto4Health data are freely available at http://www.way2drug.com/p4h/.


Subject(s)
Plants, Medicinal , Software , Plants, Medicinal/chemistry , Databases, Factual , Russia
3.
J Chem Inf Model ; 61(6): 2516-2522, 2021 06 28.
Article in English | MEDLINE | ID: mdl-34014674

ABSTRACT

Natural products and their secondary metabolites are promising starting points for the development of drug prototypes and new drugs, as many current treatments for numerous diseases are directly or indirectly related to such compounds. State-of-the-art, curated, integrated, and frequently updated databases of secondary metabolites are thus highly relevant to drug discovery. The SistematX Web Portal, introduced in 2018, is undergoing development to address this need and documents crucial information about plant secondary metabolites, including the exact location of the species from which the compounds were isolated. SistematX also allows registered users to log in to the data management area and gain access to administrative pages. This study reports recent updates and modifications to the SistematX Web Portal, including a batch download option, the generation and visualization of 1H and 13C nuclear magnetic resonance spectra, and the calculation of physicochemical (drug-like and lead-like) properties and biological activity profiles. The SistematX Web Portal is freely available at http://sistematx.ufpb.br.


Subject(s)
Biological Products , Databases, Factual , Drug Discovery , Magnetic Resonance Spectroscopy , Plants
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