| Literature DB >> 33907523 |
Kunmeng Liu1, Zixuan Gu1, Md Sahidul Islam1, Thomas Scherngell2, Xiangjun Kong1, Jing Zhao1, Xin Chen1, Yuanjia Hu1.
Abstract
At present, the COVID-19 pandemic is running rampant, having caused 2.18 million deaths. Characterizing the global patent landscape of coronaviruses is essential not only for informing research and policy, given the current pandemic crisis, but also for anticipating important future developments. While patents are a promising indicator of technological knowledge production widely used in innovation research, they are often an underused resource in biological sciences. In this study, we present a patent landscape for the seven coronaviruses known to infect humans. The information included in this paper provides a strong intellectual groundwork for the ongoing development of therapeutic agents and vaccines along with a deeper discussion of intellectual property rights under epidemic conditions. The results show that there has been a rapid increase in human coronavirus patents, especially COVID-19 patents. China and the United States play an outstanding role in global cooperation and patent application. The leading role of academic institutions and government is increasingly apparent. Notable technological issues related to human coronaviruses include pharmacochemical treatment, diagnosis of viral infection, viral-vector vaccines, and traditional Chinese medicine. Furthermore, a critical challenge lies in balancing commercial competition, enterprise profit, knowledge sharing, and public interest. © The author(s).Entities:
Keywords: COVID-19; coronavirus; patent citation network; patent landscape
Mesh:
Year: 2021 PMID: 33907523 PMCID: PMC8071764 DOI: 10.7150/ijbs.58807
Source DB: PubMed Journal: Int J Biol Sci ISSN: 1449-2288 Impact factor: 6.580
Figure 1Temporal and geographic distribution of coronavirus patents. a. Publication trend (based on patent documents). b. Annual publication change of seven subtypes of human coronavirus and coronavirus type not announced patent (based on patent families). c. Geographic distribution by nationalities of patent inventors. The color intensity denotes the frequency of patent families. d. Geographic distribution by nationalities of jurisdictions (based on patent documents). The "Two-Letter codes" by full country names are shown in Supplementary Table S2.
Top assignees of coronavirus patents
| Rank | Assignees | Patent documents | Patent families | Average number of patents per family | Assignee type |
|---|---|---|---|---|---|
| 1 | Academy of Military Medical Sciences (China) | 44 | 41 | 1.07 | A&G |
| 2 | Fudan University (China) | 43 | 38 | 1.13 | A&G |
| 3 | U.S. Department of Health and Human Services (US) | 176 | 37 | 4.76 | A&G |
| 4 | AstraZeneca (Sweden) | 476 | 35 | 13.60 | C |
| 5 | Tsinghua University (China) | 54 | 30 | 1.80 | A&G |
| 6 | University of California (US) | 137 | 29 | 4.72 | A&G |
| 7 | Korea Research Institute of Bioscience and Biotechnology (South Korea) | 104 | 25 | 4.16 | A&G |
| 8 | Novartis (Switzerland) | 323 | 23 | 14.04 | C |
| 9 | 3M Company (US) | 220 | 23 | 9.57 | C |
| 10 | InterMune (US) | 165 | 21 | 7.86 | C |
Abbreviations: C: company; A&G: academia and government.
Average number of patents per family= the number of patent documents / the number of patent families.
Figure 2Types and cooperation of coronavirus patent assignees. a. Organizational types (based on patent families). b. Collaboration patterns. Institutional collaboration network, in which nodes denote assignees and edges represent co-assignee relations. The main collaboration relationships and patterns among assignees was extracted by network clusters detected using the Louvain modularity method, and labels names of top 20 active institutions. Node size is scaled to the number of patent families, while the thickness of each edge represents collaboration frequency. Countries mean regions in which assignees are located.
Figure 3Technological categories of coronavirus patents. a. Annual changes of Top 15 International Patent Classification (IPC) codes based on patent families (for further information on IPC codes, visit https://www.wipo.int/classifications/ipc/en/). A61K-031 (Medicinal preparations containing organic active ingredients), A61K-039 (Medicinal preparations containing antigens or antibodies), C12Q-001(Measuring or testing processes involving enzymes, nucleic acids or microorganisms; compositions therefor; processes of preparing such compositions), C12N-015(Mutation or genetic engineering; DNA or RNA concerning genetic engineering, vectors, e.g. plasmids, or their isolation, preparation or purification; use of hosts therefor), A61K-038 (Medicinal preparations containing peptides), G01N-033(Investigating or analysing materials by specific methods), C07K-014(Peptides having more than 20 amino acids; gastrins; somatostatins; melanotropins; derivatives thereof), C07K-016(Immunoglobulins, e.g. monoclonal or polyclonal antibodies), A61K-009(Medicinal preparations characterised by special physical form), A61K-036(Medicinal preparations of undetermined constitution containing material from algae, lichens, fungi or plants, or derivatives thereof, e.g. traditional herbal medicines), C07D-487(Heterocyclic compounds containing nitrogen atoms as the only ring hetero atoms in the condensed system), A61K-035(Medicinal preparations containing materials or reaction products thereof with undetermined constitution), C12N-007(Viruses, e.g. bacteriophages; compositions thereof; preparation or purification thereof), C07D-471(Heterocyclic compounds containing nitrogen atoms as the only ring hetero atoms in the condensed system, at least one ring being a six-membered ring with one nitrogen atom), A01N-043(Biocides, pest repellants or attractants, or plant growth regulators containing heterocyclic compounds). b. Sunburst chart of technological categories (based on patent families). c. Vaccine categories (based on patent families)
The number of patent documents and patent families for each type of coronavirus
| Coronavirus type | Number of patent families | Number of patent documents |
|---|---|---|
| SARS-CoV | 2275 | 9153 |
| MERS-CoV | 333 | 887 |
| SARS-CoV-2 | 1524 | 1556 |
| HCoV-229E | 109 | 402 |
| HCoV-OC43 | 87 | 301 |
| HCoV-HKU1 | 46 | 251 |
| HCoV-NL63 | 75 | 121 |
| Coronavirus type not announced | 1206 | 5444 |
Figure 4Citation analysis of coronavirus patents. a. Global citation network including all patent documents and their citation links. Bigger nodes represent highly cited patents. The node size was set according to its out-degree value, that is, the greater the out-degree, the larger the node size, and the more citations a given patent received (based on technology types). In order to split different technology, the layout was firstly performed by technology classification of the nodes (patents), and then in the same technology module, we use the strategy of “Grid layout” by Cytoscape software. b. The technological temporal route derived from the global patent citation network based on the top 10 citation out-degree.