Patent information analysis of TCM prescription for the treatment of diabetes based on patent analysis and SWOT model

Ni, Lulu; Chen, Zhanghua; Xu, Gong; Ai, Min; Xiong, Mengrui; Tao, Xuyi; Hu, Yufei; Li, Jiangan; Zhang, Sujuan

doi:10.1016/j.phyplu.2022.100307

Cited by 5 publications

(3 citation statements)

References 24 publications

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“…e BASS model is used to predict the maximum number of patent applications in related technological fields and the approximate time of the emergence of a new patent [21].…”

Section: Research Backgroundmentioning

confidence: 99%

Forecasting Directions, Dates, And Causes of Future Technological Revolutions concerning the Growth of Human Capital

Chen

Vaseei

Peivandizadeh

2022

Discrete Dynamics in Nature and Society

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Technology forecasting is an important and critical issue that determines the starting point of planning and is considered as a management tool directly related to the future. In the previous research items, the development of renewable energy technologies was of concern. Moreover, due to the increasing need of countries to produce electricity and facing the lack of resources, this research focuses on forecasting photovoltaic technology. Accordingly, in this paper, for technological research in the field of solar energy, the patents extracted from one of the most famous renewable energy databases in the United States (US patent database) between 200 and 2020 were examined. Next, research gaps were analyzed by using the artificial neural network clustering method and also by analyzing covered and uncovered compounds. The results show that in the future, photovoltaic technology research will move towards the third generation of technology (organic materials) as well as focus on environmental parameters and their effects on the performance of photovoltaic systems.

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“…e BASS model is used to predict the maximum number of patent applications in related technological fields and the approximate time of the emergence of a new patent [21].…”

Section: Research Backgroundmentioning

confidence: 99%

Forecasting Directions, Dates, And Causes of Future Technological Revolutions concerning the Growth of Human Capital

Chen

Vaseei

Peivandizadeh

2022

Discrete Dynamics in Nature and Society

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“…Previous studies have been demonstrated that Pueraria Lobata Radix and Salviae Miltiorrhizae Radix (RP-RS) paired exhibits varies effects on T2DM or diabetes related diseases [10,[14][15][16][17]. However, the research on effective compounds of RP-RS is not in-depth, and the analytical methods are not comprehensive in these studies.…”

Section: Introductionmentioning

confidence: 99%

Combined Network Pharmacology and Molecular Docking to Verify the Treatment of Type 2 Diabetes with Pueraria Lobata Radix and Salviae Miltiorrhizae Radix

Mao

Wang

Yang

et al. 2023

Computational and Mathematical Methods in Medicine

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Objective. To explore the potential molecular mechanism of Pueraria Lobata Radix (RP) and Salviae Miltiorrhizae Radix (RS) in the treatment of type 2 diabetes mellitus (T2DM) based on network pharmacology and molecular docking. Methods. The chemical constituents and core targets of RP and RS were searched by Traditional Chinese Medicine System Pharmacology (TCMSP); target genes related to T2DM were obtained through GeneCards database, component target network diagram was constructed, intersection genes of active compounds and T2DM were synthesized, protein-protein interaction (PPI) relationship was obtained, and core targets were screened by using Cytoscape 3.7.2. Gene Ontology (GO) biological process and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway were analyzed utilizing R studio 4.0.4 according to David database. Based on molecular docking, the screened active components of RP and RS were verified by molecular docking with the core target using Discovery Studio 2019. Results. There were totally 92 components and 29 corresponding targets in the component target network of RP and RS drug pair, of which 6 were the core targets of RP and RS in the treatment of T2DM. Molecular docking results showed that the active compounds of puerarin, formononetin, tanshinone iia, and luteolin had better binding activity with AKT1, VEGFA, NOS3, PPARG, MMP9, and VCAM1, respectively. Among them, puerarin showed significant effects in activating NOS3 pathway and luteolin exhibited significant effects in activating MMP9 pathway, respectively. The main biological processes mainly including xenobiotic stimulus, response to peptide, gland development, response to radiation, cellular response to chemical stress, response to oxygen levels, and the main signal pathways include response to xenobiotic stimulus, cellular response to chemical stress, response to peptide, gland development, and response to oxygen levels. Conclusion. Network pharmacology is an effective tool to explain the action mechanism of Traditional Chinese Medicine (TCM) from the overall perspective. RP and RS pair could alleviate T2DM via the molecular mechanism predicted by the network pharmacology, which provided new ideas and further research on the molecular mechanism of T2DM.

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“…The present studies contribute to research on patent analysis and collaborative innovations. In terms of patent analysis, many scholars adopt text mining (Zhou et al , 2022), technology life cycle analysis (Ampah et al , 2022), bibliometric analysis (Jin et al , 2023), SWOT analysis (Ni et al , 2022), regression analysis (Jin et al , 2022) and other methods to develop a strategic plan by exploring future trends in different technology areas. However, these methods have limited abilities to elaborate collaborative relationships between innovative organizations.…”

Section: Introductionmentioning

confidence: 99%

Exploring collaborative innovation evolution of China’s energy conservation and environmental protection industry: a social network analysis based on patents

Liu,

Guo,

2023

JBIM

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Purpose Energy conservation and environmental protection industry (ECEPI) is a strategic choice to promote energy conservation and emission reduction, develop green economy and circular economy. However, China’s ECEPI is still in the stage of rapid development and the overall scale is relatively small, what development periods have the ECEPI experienced? This study aims to contribute to a better understanding of collaborative innovation evolution based on social network analysis from the perspective of multi-dimensional proximity. Design/methodology/approach Methodologically, this study uses social network analysis method to explore the co-evolution of multidimensional collaboration networks. It divides China’s ECEPI into four periods based on national policies from 2001 to 2020. This contribution constructs collaborative innovation networks from geographical, technological and organizational proximity. Findings The results show that the collaborative innovation network was initially formed in the central region of China, gradually expanded to neighboring cities and the core positions of Beijing, Jiangsu and Guangdong have been continuously consolidated. C02F has been the core of the collaboration networks, and the research focus has gradually shifted from the treatment of wastewater, sewage or sludge to the separation field. Enterprises always occupy a dominant position in the collaboration networks. Originality/value This research investigates the dynamic evolution process of collaborative innovation network in China’s ECEPI from the perspective of multidimensional proximity, explores the community structure, important nodes and multidimensional proximity features in the network, expands the research perspective on evolution characteristics of innovative network and the research field of social network analysis. Theoretically, this study enriches collaborative innovation theory, social network theory and multi-dimensional proximity theory.

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Patent information analysis of TCM prescription for the treatment of diabetes based on patent analysis and SWOT model

Cited by 5 publications

References 24 publications

Forecasting Directions, Dates, And Causes of Future Technological Revolutions concerning the Growth of Human Capital

Forecasting Directions, Dates, And Causes of Future Technological Revolutions concerning the Growth of Human Capital

Combined Network Pharmacology and Molecular Docking to Verify the Treatment of Type 2 Diabetes with Pueraria Lobata Radix and Salviae Miltiorrhizae Radix

Exploring collaborative innovation evolution of China’s energy conservation and environmental protection industry: a social network analysis based on patents

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