Researchers from the Graduate School, Universitas Padjadjaran, Dr. Lathifah Puji Hastuti, together with collaborators such as Lala Adetia, have developed a novel computational approach to accelerate breast cancer drug discovery. The team employed quantitative structure–activity relationship (QSAR) modeling to design hydroxyxanthone derivatives with potential anticancer properties. By analyzing molecular structures and predicting bioactivity, the study highlights promising candidates that could inhibit breast cancer cell proliferation, offering a streamlined and cost-effective path for early-stage therapeutic development.

This breakthrough aligns with several critical Sustainable Development Goals: SDG 3 (Good Health and Well-Being), by advancing potential treatment options; SDG 9 (Industry, Innovation and Infrastructure), through cutting-edge computational modeling in pharmaceutical research; and SDG 17 (Partnerships for the Goals), by reinforcing global scientific collaboration and knowledge exchange. This research embodies how computational drug design can contribute to more efficient, accessible, and impactful solutions in global health.