Leveraging text analytics in patent analysis to empower business decisions – A competitive differentiation of kinase assay technology platforms by I2E text mining software
| Autor: | Yun Yun Yang, Thomas Klose, Jonathan Lippy, Litao Zhang, Cynthia Barcelon-Yang |
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| Rok vydání: | 2014 |
| Předmět: |
Software visualization
Renewable Energy Sustainability and the Environment business.industry Computer science Drug discovery Process Chemistry and Technology Energy Engineering and Power Technology Bioengineering Library and Information Sciences Data science Computer Science Applications Software analytics Patent analysis Fuel Technology Software Text mining Analytics business |
| Zdroj: | World Patent Information. 39:24-34 |
| ISSN: | 0172-2190 |
| DOI: | 10.1016/j.wpi.2014.09.002 |
| Popis: | Leveraging available technologies for high-throughput screening (HTS), to enable the rapid delivery of comprehensive data packages for drug discovery programs, is a primary goal in developing new molecular entities for clinical applications. Pharmaceutical companies like Bristol-Myers Squibb (BMS) must constantly evolve their assay methods to ensure an effective and timely impact to business. This article is focused on a novel three step approach, using Linguamatics I2E text analytics software to mine the full text of patents, to identify (1) kinase assay technology information, and (2) kinase group information that is associated with therapeutic areas for drug screening. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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