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

    Manoj Kumar, Raghvendra Pratap Singh, Alok Kumar Singh
    TLDR Computational techniques can improve drug development for treating certain conditions.
    The document discusses a computational QSAR study on alpha-reductase inhibitors, which are crucial for treating conditions like benign prostatic hyperplasia and androgenic alopecia. The study highlights the integration of computational techniques in drug discovery, emphasizing the potential of layered double hydroxides (LDHs) as electrocatalysts to enhance the effectiveness of these inhibitors. This research bridges computational chemistry and practical pharmacology, offering new pathways for efficient and precise drug development.
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