Ilya A Solovev, Denis A Golubev, Arina I Yagovkina, Nadezhda O Kotelina
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However, the field remains fragmented, lacking a unified classification system for these pharmacological agents. The current categorizations include natural chrononutrients, synthetic targeted circadian rhythm modulators, hypnotics, and chronobiotic hormones, yet no comprehensive repository of knowledge on chronobiotics exists. Addressing this gap, the development of the world's first curated and continuously updated database of chronobiotic drugs-circadian rhythm modulators-accessible via the global Internet, represents a critical and timely objective for the fields of chronobiology, chronomedicine, and pharmacoinformatics/bioinformatics. The primary objective of this study is to construct a relational database, ChronobioticsDB, utilizing the Django framework and PostGreSQL as the database management system. The database will be accessible through a dedicated web interface and will be filled in with data on chronobiotics extracted and manually annotated from PubMed, Google Scholar, Scopus, and Web of Science articles. Each entry in the database will comprise a detailed compound card, featuring links to primary data sources, a molecular structure image, the compound's chemical formula in machine-readable SMILES format, and its name according to IUPAC nomenclature. To enhance the depth and accuracy of the information, the database will be synchronized with external repositories such as ChemSpider, DrugBank, Chembl, ChEBI, Engage, UniProt, and PubChem. This integration will ensure the inclusion of up-to-date and comprehensive data on each chronobiotic. Furthermore, the biological and pharmacological relevance of the database will be augmented through synchronization with additional resources, including the FDA. 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引用次数: 0
摘要
时间生成物是一种药理学上多样化的物质,包括实验化合物和临床实践中使用的化合物,它们具有调节昼夜节律参数的能力。这些物质影响各种生理和生化过程的波动,包括模式生物和细胞培养中核心“时钟”基因的表达,以及时钟控制基因的表达。尽管它们的化学成分不同,但它们都具有改变昼夜节律的共同能力。生物钟药物的概念已经被认可了50多年,可以追溯到褪黑激素的发现和详细的临床特征。然而,该领域仍然是碎片化的,缺乏一个统一的分类系统,这些药理制剂。目前的分类包括天然时间营养素、合成靶向昼夜节律调节剂、催眠剂和时间生物激素,但没有关于时间生物的全面知识库。为了解决这一差距,开发世界上第一个可通过全球互联网访问的时间生物药物-昼夜节律调节剂数据库,代表了时间生物学、时间医学和药物信息学/生物信息学领域的一个关键和及时的目标。本研究的主要目的是利用Django框架和PostGreSQL作为数据库管理系统,构建一个关系数据库ChronobioticsDB。该数据库将通过一个专用的网络界面进行访问,并将填充从PubMed、b谷歌Scholar、Scopus和web of Science文章中提取和手动注释的关于生物钟的数据。数据库中的每一个条目都将包括一张详细的化合物卡片,上面有原始数据源的链接、分子结构图像、机器可读的smile格式的化合物化学式,以及根据IUPAC命名法的名称。为了提高信息的深度和准确性,数据库将与外部存储库同步,如ChemSpider、DrugBank、Chembl、ChEBI、Engage、UniProt和PubChem。这一整合将确保包含每一种生物钟的最新和全面的数据。此外,通过与包括FDA在内的其他资源同步,该数据库的生物学和药理学相关性将得到增强。在重叠数据的情况下,复合卡片将突出每个时间生物的独特属性,从而为该领域的研究人员和从业者提供一个强大的和多方面的资源。
ChronobioticsDB: The Database of Drugs and Compounds Modulating Circadian Rhythms.
Chronobiotics represent a pharmacologically diverse group of substances, encompassing both experimental compounds and those utilized in clinical practice, which possess the capacity to modulate the parameters of circadian rhythms. These substances influence fluctuations in various physiological and biochemical processes, including the expression of core "clock" genes in model organisms and cell cultures, as well as the expression of clock-controlled genes. Despite their chemical heterogeneity, chronobiotics share the common ability to alter circadian dynamics. The concept of chronobiotic drugs has been recognized for over five decades, dating back to the discovery and detailed clinical characterization of the hormone melatonin. However, the field remains fragmented, lacking a unified classification system for these pharmacological agents. The current categorizations include natural chrononutrients, synthetic targeted circadian rhythm modulators, hypnotics, and chronobiotic hormones, yet no comprehensive repository of knowledge on chronobiotics exists. Addressing this gap, the development of the world's first curated and continuously updated database of chronobiotic drugs-circadian rhythm modulators-accessible via the global Internet, represents a critical and timely objective for the fields of chronobiology, chronomedicine, and pharmacoinformatics/bioinformatics. The primary objective of this study is to construct a relational database, ChronobioticsDB, utilizing the Django framework and PostGreSQL as the database management system. The database will be accessible through a dedicated web interface and will be filled in with data on chronobiotics extracted and manually annotated from PubMed, Google Scholar, Scopus, and Web of Science articles. Each entry in the database will comprise a detailed compound card, featuring links to primary data sources, a molecular structure image, the compound's chemical formula in machine-readable SMILES format, and its name according to IUPAC nomenclature. To enhance the depth and accuracy of the information, the database will be synchronized with external repositories such as ChemSpider, DrugBank, Chembl, ChEBI, Engage, UniProt, and PubChem. This integration will ensure the inclusion of up-to-date and comprehensive data on each chronobiotic. Furthermore, the biological and pharmacological relevance of the database will be augmented through synchronization with additional resources, including the FDA. In cases of overlapping data, compound cards will highlight the unique properties of each chronobiotic, thereby providing a robust and multifaceted resource for researchers and practitioners in the field.