Xiaoqing Gong , Shuoyan Tan , Yuwei Yang , Yang Yu , Xiaojun Yao , Huanxiang Liu
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Development of LRRK2 inhibitors through computational strategies: a promising avenue for Parkinson’s disease
Parkinson’s disease (PD) is a prevalent neurodegenerative disorder that remains incurable. Leucine-rich repeat kinase 2 (LRRK2) has a pivotal role in PD pathogenesis, making it a promising therapeutic target. Thus, there is an urgent need to develop structurally diverse, highly selective, blood–brain barrier (BBB)-permeable LRRK2 inhibitors. Computer-aided and artificial intelligence (AI)-driven drug design methods have shown significant advantages in the discovery of LRRK2 inhibitors. Building upon a systematic review of structural characteristics, biological functions, and molecular mechanisms of LRRK2, in this review, we summarize recent advances in LRRK2 inhibitor development, highlighting the pivotal role of computational approaches in accelerating inhibitor discovery.
期刊介绍:
Drug Discovery Today delivers informed and highly current reviews for the discovery community. The magazine addresses not only the rapid scientific developments in drug discovery associated technologies but also the management, commercial and regulatory issues that increasingly play a part in how R&D is planned, structured and executed.
Features include comment by international experts, news and analysis of important developments, reviews of key scientific and strategic issues, overviews of recent progress in specific therapeutic areas and conference reports.