G
Gang Fu
Researcher at National Institutes of Health
Publications - 26
Citations - 4411
Gang Fu is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Metadata & RDF. The author has an hindex of 13, co-authored 26 publications receiving 3403 citations. Previous affiliations of Gang Fu include Peking University & University of Mississippi.
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Journal ArticleDOI
PubChem Substance and Compound databases
Sunghwan Kim,Paul A. Thiessen,Evan E Bolton,Jie Chen,Gang Fu,Asta Gindulyte,Lianyi Han,Jane He,Siqian He,Benjamin A. Shoemaker,Jiyao Wang,Bo Yu,Jian-Jian Zhang,Stephen H. Bryant +13 more
TL;DR: An overview of the PubChem Substance and Compound databases is provided, including data sources and contents, data organization, data submission using PubChem Upload, chemical structure standardization, web-based interfaces for textual and non-textual searches, and programmatic access.
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Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data
Warren A. Kibbe,Cesar Arze,Victor Felix,Elvira Mitraka,Evan E Bolton,Gang Fu,Christopher J. Mungall,Janos X. Binder,James Malone,Drashtti Vasant,Helen Parkinson,Lynn M. Schriml +11 more
TL;DR: The current version of the Human Disease Ontology (DO), a biomedical resource of standardized common and rare disease concepts with stable identifiers organized by disease etiology, is moving to a multi-editor model utilizing Protégé to curate DO in web ontology language.
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Predicting drug target interactions using meta-path-based semantic network analysis
TL;DR: The proposed framework has been demonstrated as a powerful alternative to SLAP in order to predict DTIs using the semantic network that integrates chemical, pharmacological, genomic, biological, functional, and biomedical information into a unified framework.
Journal ArticleDOI
PubChemRDF: towards the semantic annotation of PubChem compound and substance databases
TL;DR: An approach to translate PubChem Substance and Compound information into Resource Description Framework (RDF) format was described, with the goal of semantically describing information available in the PubChem archive, pre-existing ontological frameworks were used, rather than creating new ones.
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Liquid chromatography–tandem mass spectrometry analysis of protocatechuic aldehyde and its phase I and II metabolites in rat
Man Xu,Zichuan Zhang,Gang Fu,Shi-feng Sun,Jianghao Sun,Min Yang,Aihua Liu,Jian Han,De-An Guo +8 more
TL;DR: The results proved that the established method was simple, reliable and sensitive, revealing that it could be used to rapid screen and identify the structures of active components responsible for pharmacological effects of protocatechuic aldehyde and to better understand its in vivo metabolism.