ABSTRACT
OBJECTIVE:To study the characteristics of patent behaviors of Chinese pharmaceutical demonstration enterprises for intellectual property,and to provide reference for the improvement of patent behaviors in Chinese pharmaceutial enterprises. METHODS:After retrieving the applicants(patentees)from China Intellectual Property Right Net on the basis of taking 7 pharma-ceutical demonstration enterprises chosen through appraisal by State Intellectual Property Office of the P.R.C in 2013 as the study samples,empirical study was conducted on their patent behaviors during 1985 and 2013,including the number and type of the pat-ents for which applications were made,international patent classification and legal status. RESULTS:The number of patent applica-tions of the 7 pharmaceutical demonstration enterprises demonstrated a growing trend(an annual increase up to 79.0%). The appli-cations were dominated by the inventive patent(84.9%). Many patents were in an authorized legal status(46.7%). All of these en-terprises paid more attention to the maintenance of the authorized patent. The technology patent applications were mainly about chemical compound,composition,and preparation methods,including the technical proposal containing the active ingredients and properties of the pharmaceutical preparation (A61K),particularly the application of the technical proposal related to the treatment with the preparation (A61P). CONCLUSIONS:All the 7 pharmaceutical demonstration enterprises were aware of patent competi-tion and protection and characterized by a higher proportion of the application for the inventive patent,perfect patent information management institution and high-quality patent applications. Chinese pharmaceutical enterprises can enhance their competitiveness and creativity through adjusting patent behaviors and increasing their awareness of patent competition.
ABSTRACT
Whereas a vast amount of new information on bioinformatics is made available to the public through patents, only a small set of patents are cited in academic papers. A detailed analysis of registered bioinformatics patents, using the existing patent search system, can provide valuable information links between science and technology. However, it is extremely difficult to select keywords to capture bioinformatics patents, reflecting the convergence of several underlying technologies. No single word or even several words are sufficient to identify such patents. The analysis of patent subclasses can provide valuable information. In this paper, I did a preliminary study of the current status of bioinformatics patents and their International Patent Classification (IPC) groups registered in the Korea Intellectual Property Rights Information Service (KIPRIS) database.