Review on QSAR using Anticancer Drug
| Autor: | Hemant Ahirwar, Gabbar Kurmi, Rubeena Khan, Basant Khare, Anushree Jain, Prateek Kumar Jain, Bhupendra Singh Thakur |
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| Rok vydání: | 2022 |
| Zdroj: | Asian Journal of Dental and Health Sciences. 2:59-63 |
| ISSN: | 2834-989X 2834-9911 |
| DOI: | 10.22270/ajdhs.v2i4.27 |
| Popis: | New drug discovery has been acknowledged as a complicated, expensive, time-consuming, and challenging project. It has been estimated that around 12 years and 2.7 billion USD, on average, are demanded for a new drug discovery via traditional drug development pipeline. How to reduce the research cost and speed up the development process of new drug discovery has become a challenging, urgent question for the pharmaceutical industry. Computer-aided drug discovery (CADD) has emerged as a powerful and promising technology for faster, cheaper and more effective drug design. Recently, the rapid growth of computational tools for drug discovery, including anticancer therapies, has exhibited a significant and outstanding impact on anticancer drug design, and has also provided fruitful insights into the area of cancer therapy. In this work, we discussed the Qualitative structure activity relationship, a computer-aided drug discovery process with a focus on anticancer drugs. Keywords: New drug discovery, Computer-aided drug discovery, the Qualitative structure activity relationship, Anticancer |
| Databáze: | OpenAIRE |
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