Cheminformatics: A Patentometric Analysis

Amit Kumar Tiwari; Dipika Jaspal; Shradha Deshmukh; Preeti Mulay

doi:10.17721/fujcV10I1P13-29

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.

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