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1.
Database (Oxford) ; 20222022 05 25.
Article in English | MEDLINE | ID: mdl-35616100

ABSTRACT

Despite progress in the development of standards for describing and exchanging scientific information, the lack of easy-to-use standards for mapping between different representations of the same or similar objects in different databases poses a major impediment to data integration and interoperability. Mappings often lack the metadata needed to be correctly interpreted and applied. For example, are two terms equivalent or merely related? Are they narrow or broad matches? Or are they associated in some other way? Such relationships between the mapped terms are often not documented, which leads to incorrect assumptions and makes them hard to use in scenarios that require a high degree of precision (such as diagnostics or risk prediction). Furthermore, the lack of descriptions of how mappings were done makes it hard to combine and reconcile mappings, particularly curated and automated ones. We have developed the Simple Standard for Sharing Ontological Mappings (SSSOM) which addresses these problems by: (i) Introducing a machine-readable and extensible vocabulary to describe metadata that makes imprecision, inaccuracy and incompleteness in mappings explicit. (ii) Defining an easy-to-use simple table-based format that can be integrated into existing data science pipelines without the need to parse or query ontologies, and that integrates seamlessly with Linked Data principles. (iii) Implementing open and community-driven collaborative workflows that are designed to evolve the standard continuously to address changing requirements and mapping practices. (iv) Providing reference tools and software libraries for working with the standard. In this paper, we present the SSSOM standard, describe several use cases in detail and survey some of the existing work on standardizing the exchange of mappings, with the goal of making mappings Findable, Accessible, Interoperable and Reusable (FAIR). The SSSOM specification can be found at http://w3id.org/sssom/spec. Database URL: http://w3id.org/sssom/spec.


Subject(s)
Metadata , Semantic Web , Data Management , Databases, Factual , Workflow
2.
Bioorg Med Chem Lett ; 24(17): 4084-9, 2014 Sep 01.
Article in English | MEDLINE | ID: mdl-25127163

ABSTRACT

A medicinal chemistry exploration of the human phosphodiesterase 4 (hPDE4) inhibitor cilomilast (1) was undertaken in order to identify inhibitors of phosphodiesterase B1 of Trypanosoma brucei (TbrPDEB1). T. brucei is the parasite which causes African sleeping sickness, a neglected tropical disease that affects thousands each year, and TbrPDEB1 has been shown to be an essential target of therapeutic relevance. Noting that 1 is a weak inhibitor of TbrPDEB1, we report the design and synthesis of analogs of this compound, culminating in 12b, a sub-micromolar inhibitor of TbrPDEB1 that shows modest inhibition of T. brucei proliferation.


Subject(s)
3',5'-Cyclic-AMP Phosphodiesterases/antagonists & inhibitors , Cyclic Nucleotide Phosphodiesterases, Type 4/metabolism , Cyclohexanecarboxylic Acids/pharmacology , Drug Design , Drug Repositioning , Nitriles/pharmacology , Phosphodiesterase Inhibitors/pharmacology , Protozoan Proteins/antagonists & inhibitors , Trypanosoma brucei brucei/enzymology , 3',5'-Cyclic-AMP Phosphodiesterases/metabolism , Cell Proliferation/drug effects , Cyclohexanecarboxylic Acids/chemical synthesis , Cyclohexanecarboxylic Acids/chemistry , Dose-Response Relationship, Drug , Humans , Molecular Structure , Neglected Diseases/drug therapy , Neglected Diseases/enzymology , Nitriles/chemical synthesis , Nitriles/chemistry , Phosphodiesterase Inhibitors/chemical synthesis , Phosphodiesterase Inhibitors/chemistry , Protozoan Proteins/metabolism , Structure-Activity Relationship , Trypanosoma brucei brucei/cytology , Trypanosoma brucei brucei/drug effects , Trypanosomiasis/drug therapy , Trypanosomiasis/enzymology
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