In Silico Identification of Natural Product-Based Inhibitors Targeting IL-1ß/IL-1R Protein-Protein Interface.

IL-1ß mediates inflammation and regulates immune responses, cell proliferation, and differentiation. Dysregulation of IL-1ß is linked to inflammatory and autoimmune diseases. Elevated IL-1ß levels are found in patients with severe COVID-19, indicating its excessive production may worsen the disease. Also, dry eye disease patients show high IL-1ß levels in tears and conjunctival epithelium. Therefore, IL-1ß signaling is a potential therapeutic targeting for COVID-19 and aforementioned diseases. No small-molecule IL-1ß inhibitor is clinically approved despite efforts. Developing such inhibitors is highly desirable. Herein, a docking-based strategy was used to screen the TCM (Traditional Chinese Medicine) database to identify possible IL-1ß inhibitors with desirable pharmacological characteristics by targeting the IL-1ß/IL-1R interface. Primarily, the docking-based screening was performed by selecting the crucial residues of IL-1ß interface to retrieve the potential compounds. Afterwards, the compounds were shortlisted on the basis of binding scores and significant interactions with the crucial residues of IL-1ß. Further, to gain insights into the dynamic behavior of the protein-ligand interactions, MD simulations were performed. The analysis suggests that four selected compounds were stabilized in an IL-1ß pocket, possibly blocking the formation of an IL-1ß/IL-1R complex. This indicates their potential to interfere with the immune response, making them potential therapeutic agents to investigate further.