Cheminformatics: A Patentometric Analysis

Authors

  • Amit Kumar Tiwari Symbiosis Centre for Research and Innovation, Symbiosis International (Deemed University), Pune, India; R.K. Dewan & Co., Pune, Maharashtra, India https://orcid.org/0000-0001-6553-3025
  • Dipika Jaspal Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India
  • Shradha Deshmukh Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India
  • Preeti Mulay Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India

DOI:

https://doi.org/10.17721/fujcV10I1P13-29

Keywords:

Artificial Intelligence, Cheminformatics, Quantum Clustering, Machine Learning, Patent Analysis

Abstract

Cheminformatics has entrenched itself as a core discipline within chemistry, biology, and allied sciences, more particularly in the field of Drug Design Discovery and Development. The article begins with a patent analysis of the progressing field of cheminformatics from 1996 to early 2021 using the Relecura and Lens patent database. It proceeds with a description of patents in various domains and aspects. The eye-catching mind map shows the landscape of cheminformatics patent search. The results reveal the star rating-wise patent counts and the trends in the sub-technological research areas. At the end of the article, quantum clustering and eminent directions towards the future of cheminformatics have been discussed. This study would provide the directions to academicians, techno enthusiasts, researchers, stakeholders, or investors and helps increase the awareness of the potential of cheminformatics and quantum clustering.

References

Rozhkov S, Ivantcheva L. Scientometrical indicators of national science & technology policy based on patent statistics data. World Patent Information 1998;20(3-4):161-166. https://doi.org/10.1016/s0172-2190(98)00046-5

Brown F. Chemoinformatics: What is it and How does it Impact Drug Discovery. Annual Reports in Medicinal Chemistry 1998;33:375-384. https://doi.org/10.1016/s0065-7743(08)61100-8

Wang S, Sakk E. Quantum Algorithms: Overviews, Foundations, and Speedups. 2021 IEEE 5th International Conference on Cryptography, Security and Privacy (CSP) 2021:17-21. https://doi.org/10.1109/csp51677.2021.9357505

Grimaldi M, Greco M, Cricelli L. A framework of intellectual property protection strategies and open innovation. Journal of Business Research 2021;123:156-164. https://doi.org/10.1016/j.jbusres.2020.09.043

Parikh M. Unleashing bioprinting technology through patent intelligence. Drug Discovery Today 2021;26(6):1547-1555. https://doi.org/10.1016/j.drudis.2021.02.002

Sick N, Merigó J, Krätzig O, List J. Forty years of World Patent Information: A bibliometric overview. World Patent Information 2021;64:102011. https://doi.org/10.1016/j.wpi.2020.102011

OECD Patent Statistics Manual. OECD Publishing, Paris 2009 https://doi.org/10.1787/9789264056442-en

Iwayama M, Fujii A, Nanba H. Challenges in Patent Information Retrieval. Evaluating Information Retrieval and Access Tasks 2020;3:49-69. https://doi.org/10.1007/978-981-15-5554-1_4

Sanju S, Sankaran S, Achuthan K. Energy Comparison of Blockchain Platforms for Internet of Things. 2018 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS) 2018:235–238. https://doi.org/10.1109/ises.2018.00058

Pirashvili M, Steinberg L, Belchi Guillamon F, Niranjan M, Frey J, Brodzki J. Improved understanding of aqueous solubility modeling through topological data analysis. Journal of Cheminformatics 2018;10(1):54-62. https://doi.org/10.1186/s13321-018-0308-5

Dong J, Cao D, Miao H, Liu S, Deng B, Yun Y, Wang N, Lu A, Zeng W, Chen A. ChemDes: an integrated web-based platform for molecular descriptor and fingerprint computation. Journal of Cheminformatics 2015;7(1):1-10. https://doi.org/10.1186/s13321-015-0109-z

Omoigui N. System And Method For Knowledge Retrieval, Management, Delivery And Presentation. US2010/0070448 A1. 2010

Mintz L, Xie H, Dahari D, Levanon E, Freilich S. Methods And Systems For Annotating Biomolecular Sequences. US2007/ 0083334 A1 2007

Heath S. System And Method For Providing Educational Related Social/geo/promo Link Promotional Data Sets For End-User Display Of Interactive Ad Links, Promotions And Sale Of Products, Goods, And/or Services Integrated With 3d Spatial Geomapping, Company And Local Information For Selected Worldwide Locations And Social Networking. US2013/0073387 A1. 2013

Mintz L, Xie H, Dahari D, Levanon E, Freilich S. Human Thrombospondin Polypeptide, US7745391 B2. 2010

Stanley R, Gombocz E. Data Pool Architecture, System, And Method For Intelligent Object Data In Heterogeneous Data Environments, US2004/0003132 A1. 2004

Von Wartburg I, Teichert T, Rost K. Inventive progress measured by multi-stage patent citation analysis. Research Policy 2005;34(10):1591-1607. https://doi.org/10.1016/j.respol.2005.08.001

Romero J, Babbush R, McClean J, Hempel C, Love P, Aspuru-Guzik A. Strategies for quantum computing molecular energies using the unitary coupled cluster ansatz. Quantum Science and Technology 2018;4(1):014008. https://doi.org/10.1088/2058-9565/aad3e4

Lenselink E, Ten Dijke N, Bongers B, Papadatos G, Van Vlijmen H, Kowalczyk W, IJzerman A, Van Westen G. Beyond the hype: deep neural networks outperform established methods using a ChEMBL bioactivity benchmark set. Journal of Cheminformatics 2017;9(1):1-14. https://doi.org/10.1186/s13321-017-0232-0

Wittek P. High-performance dynamic quantum clustering on graphics processors. Journal of Computational Physics 2013;233:262-271. https://doi.org/10.1016/j.jcp.2012.08.048

Wegner J, Sterling A, Guha R, Bender A, Faulon J, Hastings J, O'Boyle N, Overington J, Van Vlijmen H, Willighagen E. Cheminformatics. Communications of the ACM 2012;55(11):65-75. https://doi.org/10.1145/2366316.2366334

Mak L, Marcus D, Howlett A, Yarova G, Duchateau G, Klaffke W, Bender A, Glen R. Metrabase: a cheminformatics and bioinformatics database for small molecule transporter data analysis and (Q)SAR modeling. Journal of Cheminformatics 2015;7(1):1-15. https://doi.org/10.1186/s13321-015-0083-5

Penfold R. Using the Lens database for staff publications. Journal of the Medical Library Association 2020;108(2):341. https://doi.org/10.5195/jmla.2020.918

Frazier R, Carter-Templeton H, Wyatt T, Wu L. Current Trends in Robotics in Nursing Patents—A Glimpse Into Emerging Innovations. CIN: Computers, Informatics, Nursing 2019;37(6):290-297. https://doi.org/10.1097/cin.0000000000000538

Kabore F, Park W. Can patent family size and composition signal patent value?. Applied Economics 2019;51(60):6476-6496. https://doi.org/10.1080/00036846.2019.1624914

Somaya D. How Patent Strategy Affects the Timing and Method of Patent Litigation Resolution. Advances in Strategic Management 2016:471-504. https://doi.org/10.1108/s0742-332220160000034014

Von Wartburg I, Teichert T, Rost K. Inventive progress measured by multi-stage patent citation analysis. Research Policy 2005;34(10):1591-1607. https://doi.org/10.1016/j.respol.2005.08.001

Nomaler Ö, Verspagen B. Knowledge flows, patent citations and the impact of science on technology. Economic Systems Research 2008;20(4):339-366. https://doi.org/10.1080/09535310802551315

Nalinipriya G, Geetha M, Cristin R, Maram B. Biomedical data mining for improved clinical diagnosis. Artificial Intelligence in Data Mining 2021:155-176. https://doi.org/10.1016/b978-0-12-820601-0.00012-4

Barrera-Vázquez O, Gómez-Verjan J, Magos-Guerrero G. Chemoinformatic Screening for the Selection of Potential Senolytic Compounds from Natural Products. Biomolecules 2021;11(3):467. https://doi.org/10.3390/biom11030467

Thrun M, Stier Q. Fundamental clustering algorithms suite. SoftwareX 2021;13:100642. https://doi.org/10.1016/j.softx.2020.100642

Downloads

Published

2022-07-14

Issue

Section

Articles