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

被引：5

作者：

Yang, Yun Yun ^{[1
]}

Klose, Thomas ^{[1
]}

Lippy, Jonathan ^{[1
]}

Barcelon-Yang, Cynthia S. ^{[1
]}

Zhang, Litao ^{[1
]}

机构：

[1] Bristol Myers Squibb Co, POB 4000, Princeton, NJ 08543 USA

来源：

WORLD PATENT INFORMATION | 2014年 / 39卷

关键词：

Patent analysis; Drug discovery; Kinase assay; Text analytics; Mining software; Visualization software; Business decisions;

D O I：

10.1016/j.wpi.2014.09.002

中图分类号：

G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];

学科分类号：

1205 ; 120501 ;

摘要：

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. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：24 / 34

页数：11