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Satish kumar Yadav, Mohd. Wasiullah, Piyush Yadav, Anand Prakash, Mr. Sushil Yadav,
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Abstract
nComputer-aided drug design (CADD) has emerged as a crucial tool in the drug discovery process, offering a time-efficient and cost-effective approach to identifying potential drug candidates. This review aims to provide an overview of modern CADD methods, including high-throughput screening (HTS), structure-based drug design (SBDD), ligand-based drug design (LBDD), structure-based virtual screening (SBVS), and ligand-based virtual screening (LBVS). We discuss the basic principles, applicability, and limitations of each method, highlighting their advantages and disadvantages. The review also explores the role of computational tools in improving the efficiency and effectiveness of the drug discovery and development pipeline.
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Keywords: Computer-Aided Drug Design, CADD methods, molecular docking, pharmacophore modelling, virtual screening, molecular dynamics simulations, machine learning, artificial intelligence, drug discovery, challenges, advancements, emerging trends.
n[if 424 equals=”Regular Issue”][This article belongs to Research & Reviews: A Journal of Dentistry(rrjod)]
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References
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| Volume | 15 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 02 | |
| Received | May 15, 2024 | |
| Accepted | May 20, 2024 | |
| Published | June 5, 2024 |
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