International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Volume 7 Issue 2
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Drug Discovery Insights from a Computational QSAR Study on Alpha-Reductase Inhibitors and Layered Double Hydroxides Electrocatalysts

Author(s) Mr. Manoj Kumar, Raghvendra Pratap Singh, Alok Pratap Singh
Country India
Abstract In the ever-evolving landscape of pharmaceuticals, the quest for more effective drug discovery methods has never been more critical. The integration of computational techniques, particularly Quantitative Structure-Activity Relationship (QSAR) studies, has emerged as a transformative approach in identifying promising candidates for therapeutic development. This article delves into the ground-breaking insights gained from a computational QSAR study focusing on alpha-reductase inhibitors class of compounds vital for treating conditions like benign prostatic hyperplasia and androgenic alopecia. Additionally, we will explore the innovative use of layered double hydroxides (LDHs) as electrocatalysts, which can significantly enhance the effectiveness of these inhibitors at the molecular level. By bridging the gap between computational chemistry and practical pharmacology, we can unlock new pathways for drug discovery that promise not only efficiency but also precision in targeting complex biological systems. Join us as we navigate this exciting frontier, where cutting-edge research meets the potential for revolutionary advancements in drug development
Keywords - QSAR Study, 5 alpha reductase, LDHs, Electrocatalyst, Drug discovery, Pharmacology.
Field Medical / Pharmacy
Published In Volume 7, Issue 2, March-April 2025
Published On 2025-03-26
DOI https://doi.org/10.36948/ijfmr.2025.v07i02.39797
Short DOI https://doi.org/g892pr
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E-ISSN 2582-2160
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