INTERNATIONAL JOURNAL OF PHARMACEUTICAL SCIENCES AND RESEARCH
June 3, 2025 at 02:20 AM
🖥️ 💊Computer-Aided Drug Design: An Overview 💊🖥️
📍Computer-aided drug design (CADD) programs utilize mathematical models to predict the properties and structures of stable, unknown, and molecular species. Various techniques, including quantum mechanics, hybrid QM/MM, molecular bonding, molecular modeling, molecular mechanics, and QSAR, are employed in studies of molecular bonding.
📍Drug Discovery Cycle: Typically, the average duration for a drug discovery cycle—ranging from lead identification to clinical trials—is around one year.
📍Cost Reduction Potential: When integrated into a company’s research and development processes, CADD technologies can potentially cut drug design and development costs by 50%.
📍Accelerating Development: Computational methods can expedite drug development by effectively interpreting and guiding trials.
CADD approaches are primarily categorized into two types:
▶️ Ligand-Based Drug Design (LBDD)
▶️ Structure-Based Drug Design (SBDD
📍SBDD techniques analyze three-dimensional structural data from macromolecular targets, such as proteins or RNA, to pinpoint essential sites and interactions vital to their biological activities.
📍Unlock the power of innovation in drug discovery! Dive into our latest article here https://ijpsr.com/bft-article/a-review-on-computer-aided-drug-design-in-drug-discovery/ to explore how Computer-Aided Drug Design (CADD) is revolutionizing pharmaceutical research—cutting costs, accelerating development, and increasing precision.
📍Whether you're a researcher, student, or industry professional, this insightful piece will enhance your understanding of cutting-edge techniques like QSAR, molecular modeling, and structure-based drug design. Don’t miss the chance to stay ahead in the ever-evolving world of drug development!
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