Synthetic Biology for Drug Discovery: Unlocking New Therapeutic Pathways
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https://doi.org/10.14419/cehxkd95
Received date: May 2, 2025
Accepted date: May 31, 2025
Published date: October 31, 2025
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Pharmaceutical; Mechanisms; Discovery; Communicate -
Abstract
The goal of this study, which employs a Data Mining Algorithm, is to pinpoint the functional groups and their connectivity chains in phytochemicals that are used for diabetes treatment. We’ll also compare these with Acarbose, a synthetic drug currently prescribed for diabetes management. Plants produce chemical substances to defend themselves against predators and parasites, and these protective compounds are known as phytochemicals. They can be quite effective as drugs. However, figuring out the similarities between different molecules poses a significant challenge in both drug discovery and molecular biology. This challenge is crucial because the biochemical properties of a molecule are closely tied to its structure. The molecular structure of organic compounds primarily consists of carbon, hydrogen, nitrogen, and oxygen atoms. Among these, carbon is particularly important as it forms the backbone of these compounds. The arrangement of carbon atoms is key to naming the compound and influences its physical and chemical properties. Together with hydrogen and oxygen, these atoms create normal functional groups that link together to form various functional group chains. Chains with the same functional groups tend to undergo similar chemical reactions. Therefore, identifying these functional group chains in phytochemicals is quite a complex task.
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How to Cite
Kaviarasan , D. L. ., Mahajan , V. ., Rampal , S. ., Prasad , H. D. R. ., Kaushik , D. N. ., Pattnaik, D. S. ., & Goyal , S. . (2025). Synthetic Biology for Drug Discovery: Unlocking New Therapeutic Pathways. International Journal of Basic and Applied Sciences, 14(SI-1), 423-427. https://doi.org/10.14419/cehxkd95
