Sàng lọc in silico các cấu trúc phân tử nhỏ ức chế hoạt tính interleukin-17A trong điều trị các bệnh tự miễn
Tác giả: Nguyễn Lê Anh Tuấn, Hoàng Viết Nhâm, Mai Thành Tấn Bùi Thị Hoàng Linh, Võ Nguyễn Quỳnh Hương, Nguyễn Ngọc Lê, Thái Khắc Minh, Trần Thành Đạo, Lê Minh Trí
TÓM TẮT
The development of IL-17A inhibitors is a new method in the treatment of autoimmune diseases. In this study, in silico models for screening small molecular structures capable of inhibiting IL-17A activity are developed to design new medicines for autoimmune diseases.
The study built four 3D-pharmacophore models and performed docking process on IL-17A and its receptor. Virtual screening from 22.951.220 substances were conducted based on the developed in silico models. A total of 1.565 compounds matched the 3D-Pharmacophore models, with 1.550 ligands successfully docked, and 5 compounds molecular dynamically simulated and initially showing a high potential for inhibiting IL-17A activity.
Keywords: IL-17A, in silico, virtual screening, 3D-Pharmacophore, docking, molecular dynamics simulations.