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https://academic.oup.com/bib/article/9/6/479/223729
Sep 27, 2008 · DRUG DISCOVERY APPLICATIONS. While generic literature-mining techniques have often been used to derive drug-related annotation from literature as just one of a variety of applications, some workers have focused on domain-specific problems in greater depth.Cited by: 90
https://www.researchgate.net/publication/23285949_Literature_mining_in_support_of_drug_discovery
This review provides a brief overview of approaches to literature mining as they relate to drug discovery, and offers an illustrative case study of a 'lightweight' approach we have implemented ...
https://www.ncbi.nlm.nih.gov/pubmed/29843590
May 30, 2018 · It could support experts in biomedicine on their way towards new discoveries. METHODS: Here, we propose a biomedical knowledge graph-based drug discovery method called SemaTyP, which discovers candidate drugs for diseases by mining published biomedical literature.Cited by: 11
https://www.deepdyve.com/lp/oxford-university-press/literature-mining-in-support-of-drug-discovery-aF5z7ElY9j
Nov 27, 2008 · Read "Literature mining in support of drug discovery, Briefings in Bioinformatics" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.
https://academic.oup.com/bib/article/12/4/357/240836
Jun 28, 2011 · In this article, we will review various literature mining approaches to drug discovery and drug repurposing. Ontological resources as well as information visualization methodologies suited to drug repurposing will also be described. TECHNOLOGICAL OVERVIEW Literature miningCited by: 164
https://onlinelibrary.wiley.com/doi/full/10.1002/ddr.20416
Scientific literature mining for drug discovery: a case study on obesity. Deepak K. Rajpal. Corresponding Author. E-mail address: [email protected]. Computational Biology, Quantitative Sciences, Drug Discovery, GlaxoSmithKline Pharmaceuticals, Research Triangle Park, North Carolina ... we present bibliometric and data‐mining approaches ...Cited by: 4
https://en.wikipedia.org/wiki/Literature-based_discovery
Literature-based discovery is a form of knowledge extraction and automated hypothesis generation that uses papers and other academic publications (the "literature") to find new relationships between existing knowledge (the "discovery"). The technique was pioneered by Don R. Swanson in the 1980s and has since seen widespread use.. Literature-based discovery does not generate new knowledge ...
https://www.iaria.org/conferences2015/filesBIOTECHNO15/abstractPresentationPanelDiscussionKorff.pdf
an overview is given how data mining may contribute to drug discovery. During the last fourteen years our research group developed a multitude of data mining tools for drug discovery. This includes the field of chemistry, where many challenges are still waiting, as well as biology where the tasks of data mining become a snowballing list.
http://onlinelibrary.wiley.com/doi/10.1002/ddr.20416/abstract
Obesity is currently an epidemic that affects almost 15% of the global adult population. The complex metabolic processes involved in energy homeostasis, which are regulated by signals from multiple sources, present a challenging problem for drug discovery.
https://www.informatics.indiana.edu/rocha/publications/ps/Zhiping_Phd.pdf
BIOMEDICAL LITERATURE MINING FOR PHARMACOKINETICS NUMERICAL PARAMETER COLLECTION Model-based drug studies have been developing very fast recently. They require high quality pharmacokinetics (PK) parameter numerical data. However, most parameter measurements are still buried in the scientific literature.
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