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Leveraging text analytics in patent analysis to empower business decisions – A competitive differentiation of kinase assay technology platforms by I2E text mining software

Paper ID Volume ID Publish Year Pages File Format Full-Text
37875 45638 2014 11 PDF Available
Title
Leveraging text analytics in patent analysis to empower business decisions – A competitive differentiation of kinase assay technology platforms by I2E text mining software
Abstract

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.

Keywords
Patent analysis; Drug discovery; Kinase assay; Text analytics; Mining software; Visualization software; Business decisions
First Page Preview
Leveraging text analytics in patent analysis to empower business decisions – A competitive differentiation of kinase assay technology platforms by I2E text mining software
Publisher
Database: Elsevier - ScienceDirect
Journal: World Patent Information - Volume 39, December 2014, Pages 24–34
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering