科研速览 · Science Skim继续刷下去 · Keep skimming →
◆ Journal of chemical information and modeling2026-09-14

Fragment-Based Discovery of KLK6 and KLK7 Inhibitors.

Renato Ferreira de Freitas, Feryel Soualmia, Rilès Boumali, Yasmine Harrak, Chahrazade El Amri

原始摘要(英文原文)· Original abstract
Human tissue kallikreins are serine proteases implicated in the pathogenesis of neurodegenerative diseases, skin disorders, and various cancers. Despite their therapeutic relevance, the development of selective small-molecule inhibitors for these enzymes has been limited compared to other serine proteases. To address this, we implemented a fragment-based virtual screening (FBVS) strategy to identify chemically tractable starting points for the inhibition of KLK6 and KLK7. The computational workflow, combining structure-based docking tailored to serine protease active sites, was experimentally validated using in vitro enzymatic assays. Notably, the approach yielded hit rates (IC50 ≤ 100 μM) ranging from 4% (KLK7) to 21.6% (KLK6), underscoring both the robustness of the screening cascade and the druggability of these targets. Preliminary structure-activity relationship analysis identified fragment 69 as a potent and ligand-efficient KLK6 inhibitor (IC50 = 2.1 μM, LE = 0.43). For KLK7, a distinct neutral 2-hydroxyquinoline fragment (38) was validated as a ligand-efficient hit (IC50 = 43.3 μM; LE = 0.46). Overall, this study demonstrates that kallikrein-related peptidases are amenable to fragment-based discovery and provides chemically simple, highly ligand-efficient fragments that serve as promising starting points for lead optimization targeting kallikrein-driven pathologies.
读原文 · Read the paper ↗

AI 追问PRO

登录后使用 AI 追问

讨论区

登录后参与讨论

相关论文 · Related

Fragment-Based Discovery of KLK6 and KLK7 Inhibitors. — 科研速览 Science Skim