Automated extraction of chemical structure information from digital raster images |
| |
| Authors: | Jungkap Park Gus R Rosania Kerby A Shedden Mandee Nguyen Naesung Lyu Kazuhiro Saitou |
| |
| Institution: | (1) Michigan Alliance for Cheminformatic Exploration, USA;(2) Department of Mechanical Engineering, the University of Michigan, 2350 Hayward Street, 48109 Ann Arbor, MI, USA;(3) Department of Pharmaceutical Sciences, the University of Michigan College of Pharmacy, 428 Church Street, 48109 Ann Arbor, MI, USA;(4) Department of Statistics, the University of Michigan, 1085 South University, 48109 Ann Arbor, MI, USA;(5) Ford Motor Company, 3104B, Advanced Engineering Center, 2400 Village Rd., 48121 Dearborn, MI, USA |
| |
| Abstract: | Background To search for chemical structures in research articles, diagrams or text representing molecules need to be translated to a
standard chemical file format compatible with cheminformatic search engines. Nevertheless, chemical information contained
in research articles is often referenced as analog diagrams of chemical structures embedded in digital raster images. To automate
analog-to-digital conversion of chemical structure diagrams in scientific research articles, several software systems have
been developed. But their algorithmic performance and utility in cheminformatic research have not been investigated. |
| |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ |
|
