Version 1
: Received: 10 May 2024 / Approved: 11 May 2024 / Online: 13 May 2024 (08:07:09 CEST)
How to cite:
gupta, G.; Khatoon, S.; singh, R.; gupta, S.; rai, D. Exploring Bioinformatics Opportunities for Identification and Study of Medicinal Plants: A Comprehensive Review. Preprints2024, 2024050752. https://doi.org/10.20944/preprints202405.0752.v1
gupta, G.; Khatoon, S.; singh, R.; gupta, S.; rai, D. Exploring Bioinformatics Opportunities for Identification and Study of Medicinal Plants: A Comprehensive Review. Preprints 2024, 2024050752. https://doi.org/10.20944/preprints202405.0752.v1
gupta, G.; Khatoon, S.; singh, R.; gupta, S.; rai, D. Exploring Bioinformatics Opportunities for Identification and Study of Medicinal Plants: A Comprehensive Review. Preprints2024, 2024050752. https://doi.org/10.20944/preprints202405.0752.v1
APA Style
gupta, G., Khatoon, S., singh, R., gupta, S., & rai, D. (2024). Exploring Bioinformatics Opportunities for Identification and Study of Medicinal Plants: A Comprehensive Review. Preprints. https://doi.org/10.20944/preprints202405.0752.v1
Chicago/Turabian Style
gupta, G., Shashank gupta and Devendra rai. 2024 "Exploring Bioinformatics Opportunities for Identification and Study of Medicinal Plants: A Comprehensive Review" Preprints. https://doi.org/10.20944/preprints202405.0752.v1
Abstract
Medicinal plants have been a cornerstone of traditional medicine systems for centuries, offering a vast array of bioactive compounds with therapeutic potential. However, the identification, characterization, and elucidation of the pharmacological properties of these plants have often been challenging due to their complex chemical composition and diverse biological activities. Bioinformatics, with its interdisciplinary approach combining biology, computer science, and information technology, presents a powerful toolkit for the systematic study of medicinal plants. This review provides an overview of bioinformatics methodologies and resources that can facilitate the identification, phytochemical analysis, pharmacological investigation, and conservation of medicinal plants. It highlights the integration of omics technologies, computational algorithms, database resources, and molecular modeling techniques in advancing our understanding of medicinal plants' therapeutic potential and their applications in drug discovery and development.
Keywords
Bioinformation; medicinal plant; traditional medicine; medicine; biological activities
Subject
Biology and Life Sciences, Life Sciences
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
