Prediction Through Molecular Docking Technique Between Secondary Metabolites Reported for Curcuma Longa with Proteins Involved in Chronic Inflammatory Processes
摘要
Inflammation is a physiological process that plays a key role in combating infections and promoting healing. However, when dysregulated, it can lead to the development of chronic diseases. This dysregulation is particularly evident in tumor environments, where cancer cells exploit inflammation to evade the immune system. Specifically, cancer cells release inflammatory molecules that support their growth and resistance, with cyclooxygenases (COXs) and matrix metalloproteinases (MMPs) being major contributors to this process. According to research, the dysregulation of COX-2 is linked to tumor progression, while MMPs, particularly MMP-3 and MMP-13, are associated with cancer invasion and metastasis. Although current treatments, such as COX-2 inhibitors, are available, there remains a need for more effective therapies with fewer side effects. In this context, the present study focuses on identifying specific inhibitors of MMPs, especially MMP-3 and MMP-13, due to their critical roles in tumor progression. Notably, it examines the therapeutic potential of turmeric (Curcuma longa), a plant known for its antioxidant, anti-inflammatory, and anticancer properties. Through in silico molecular docking, this study evaluates the interactions of Curcuma longa derivatives with COX-2, MMP- 3, and MMP-13, aiming to identify compounds with potential immunoregulatory activity for the treatment of inflammatory and cancer-related diseases.