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Challenges of Connecting Chemistry to Pharmacology: Perspectives from Curating the IUPHAR/BPS Guide to PHARMACOLOGY

机译:将化学与药理学联系起来的挑战:从编写IUPHAR / BPS药理学指南的角度出发

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Connecting chemistry to pharmacology has been an objective of Guide to PHARMACOLOGY (GtoPdb) and its precursor the International Union of Basic and Clinical Pharmacology Database (IUPHAR-DB) since 2003. This has been achieved by populating our database with expert-curated relationships between documents, assays, quantitative results, chemical structures, their locations within the documents, and the protein targets in the assays (D-A-R-C-P). A wide range of challenges associated with this are described in this perspective, using illustrative examples from GtoPdb entries. Our selection process begins with judgments of pharmacological relevance and scientific quality. Even though we have a stringent focus for our small-data extraction, we note that assessing the quality of papers has become more difficult over the last 15 years. We discuss ambiguity issues with the resolution of authors’ descriptions of A-R-C-P entities to standardized identifiers. We also describe developments that have made this somewhat easier over the same period both in the publication ecosystem and recent enhancements of our internal processes. This perspective concludes with a look at challenges for the future, including the wider capture of mechanistic nuances and possible impacts of text mining on automated entity extraction.
机译:自2003年以来,将化学与药理学联系起来一直是《药理学指南》(GtoPdb)及其前身国际基础和临床药理学数据库联合会(IUPHAR-DB)的目标。这是通过在我们的数据库中填充专家精心编制的文档关系来实现的,测定,定量结果,化学结构,它们在文件中的位置以及测定中的蛋白质靶标(DARCP)。在此透视图中,使用GtoPdb条目中的说明性示例描述了与此相关的各种挑战。我们的选择过程始于对药理学相关性和科学质量的判断。尽管我们非常重视小数据提取,但我们注意到在过去15年中评估纸张质量变得更加困难。我们将讨论作者对A-R-C-P实体的描述对标准化标识符的解析,从而解决歧义性问题。我们还描述了在同一时期内出版物生态系统和我们内部流程的最新改进使这一过程变得容易一些的发展。该观点以对未来的挑战作了总结,包括对机械细微差别的广泛捕获以及文本挖掘对自动实体提取的可能影响。

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