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Prioritization of phytochemical isolation and characterization against HER2 as a breast cancer target based on chromatographic methods, DFT studies, 3D-QSAR analysis, and molecular docking simulations

  • B. S. Lakshmi
  • , Jayanna K. Bidarur
  • , H. G. Anilkumar
  • , B. S. Ravindranath*
  • *Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Cancer remains one of the leading causes of death globally. Over the past few decades, significant advancements in cancer diagnostics, prevention, and therapeutics have been achieved. However, developing effective treatments with minimal adverse effects remains the most critical challenge for the medical community. Breast cancer is the second most common cause of cancer-related death in women. Thus, there is a need for novel therapeutic strategies that can effectively cure cancer. In the present study, we extracted very efficient bioactive phytocompounds from the Vitex negundo plant species, which has shown abundant medicinal properties since ancient times. The extracted plant sample was isolated and purified using HPLC analysis and LC-MS techniques. The LC-MS studies revealed the presence of two important bioactive phytocompounds, artemetin and catechin, in the plant extract. The functional groups present in each phytochemical were evaluated by FTIR analysis. Quantitative Structure-Activity Relationship (QSAR) studies were performed to understand the structure-activity relationships of bioactive compounds virtually, thereby minimizing labor costs and time. Artemetin and Catechin extracted from plant samples were evaluated for their antioxidant activity and anticancer activity using in silico molecular docking studies. Further, the physicochemical properties of these phytocompounds were analyzed using density functional theory (DFT) studies. These results suggest the efficiency of the method used to isolate phytocompounds with target-specific activity.

    Original languageEnglish
    Pages (from-to)25103-25114
    Number of pages12
    JournalRSC Advances
    Volume15
    Issue number31
    DOIs
    Publication statusPublished - 15-07-2025

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    All Science Journal Classification (ASJC) codes

    • General Chemistry
    • General Chemical Engineering

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