Computational Identification of Progesterone Receptor Modulators for Breast Cancer through 3D Pharmacophore Screening and MD Simulation of the ChEMBL Database.
INTRODUCTION Breast cancer remains a major global health concern, creating an urgent need for safer and more effective treatments. This study aimed to identify novel progesterone receptor modulators as potential candidates for targeted breast cancer therapy using an integrated in silico approach. MATERIALS AND METHOD...